feat(platform): update OpenAI calls to use responses.create for reasoning models

Adds conditional support for OpenAI's Responses API for reasoning models
(o1, o3, etc.) that are incompatible with chat.completions.create.

Changes:
- Add openai_responses.py helper module with:
  - requires_responses_api() for model detection (exact matching)
  - convert_tools_to_responses_format() for tool format conversion
  - extract_responses_tool_calls() for tool call extraction
  - extract_usage() for normalized token usage
  - extract_responses_content() for content extraction
  - extract_responses_reasoning() for reasoning extraction
- Update llm.py OpenAI provider to conditionally use responses.create
  for reasoning models while keeping chat.completions.create for others
- Add unit tests for helper functions

Resolves: #11624
Linear: OPEN-2911

.dockerignore

@@ -5,13 +5,42 @@
 !docs/
 
 # Platform - Libs
-!autogpt_platform/autogpt_libs/
+!autogpt_platform/autogpt_libs/autogpt_libs/
+!autogpt_platform/autogpt_libs/pyproject.toml
+!autogpt_platform/autogpt_libs/poetry.lock
+!autogpt_platform/autogpt_libs/README.md
 
 # Platform - Backend
-!autogpt_platform/backend/
+!autogpt_platform/backend/backend/
+!autogpt_platform/backend/test/e2e_test_data.py
+!autogpt_platform/backend/migrations/
+!autogpt_platform/backend/schema.prisma
+!autogpt_platform/backend/pyproject.toml
+!autogpt_platform/backend/poetry.lock
+!autogpt_platform/backend/README.md
+!autogpt_platform/backend/.env
+!autogpt_platform/backend/gen_prisma_types_stub.py
+
+# Platform - Market
+!autogpt_platform/market/market/
+!autogpt_platform/market/scripts.py
+!autogpt_platform/market/schema.prisma
+!autogpt_platform/market/pyproject.toml
+!autogpt_platform/market/poetry.lock
+!autogpt_platform/market/README.md
 
 # Platform - Frontend
-!autogpt_platform/frontend/
+!autogpt_platform/frontend/src/
+!autogpt_platform/frontend/public/
+!autogpt_platform/frontend/scripts/
+!autogpt_platform/frontend/package.json
+!autogpt_platform/frontend/pnpm-lock.yaml
+!autogpt_platform/frontend/tsconfig.json
+!autogpt_platform/frontend/README.md
+## config
+!autogpt_platform/frontend/*.config.*
+!autogpt_platform/frontend/.env.*
+!autogpt_platform/frontend/.env
 
 # Classic - AutoGPT
 !classic/original_autogpt/autogpt/
@@ -35,38 +64,6 @@
 # Classic - Frontend
 !classic/frontend/build/web/
 
-# Explicitly re-ignore unwanted files from whitelisted directories
-# Note: These patterns MUST come after the whitelist rules to take effect
-
-# Hidden files and directories (but keep frontend .env files needed for build)
-**/.*
-!autogpt_platform/frontend/.env
-!autogpt_platform/frontend/.env.default
-!autogpt_platform/frontend/.env.production
-
-# Python artifacts
-**/__pycache__/
-**/*.pyc
-**/*.pyo
-**/.venv/
-**/.ruff_cache/
-**/.pytest_cache/
-**/.coverage
-**/htmlcov/
-
-# Node artifacts
-**/node_modules/
-**/.next/
-**/storybook-static/
-**/playwright-report/
-**/test-results/
-
-# Build artifacts
-**/dist/
-**/build/
-!autogpt_platform/frontend/src/**/build/
-**/target/
-
-# Logs and temp files
-**/*.log
-**/*.tmp
+# Explicitly re-ignore some folders
+.*
+**/__pycache__

.github/workflows/claude-ci-failure-auto-fix.yml

@@ -40,48 +40,6 @@ jobs:
           git checkout -b "$BRANCH_NAME"
           echo "branch_name=$BRANCH_NAME" >> $GITHUB_OUTPUT
 
-      # Backend Python/Poetry setup (so Claude can run linting/tests)
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.11"
-
-      - name: Set up Python dependency cache
-        uses: actions/cache@v5
-        with:
-          path: ~/.cache/pypoetry
-          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
-
-      - name: Install Poetry
-        run: |
-          cd autogpt_platform/backend
-          HEAD_POETRY_VERSION=$(python3 ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
-          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
-          echo "$HOME/.local/bin" >> $GITHUB_PATH
-
-      - name: Install Python dependencies
-        working-directory: autogpt_platform/backend
-        run: poetry install
-
-      - name: Generate Prisma Client
-        working-directory: autogpt_platform/backend
-        run: poetry run prisma generate && poetry run gen-prisma-stub
-
-      # Frontend Node.js/pnpm setup (so Claude can run linting/tests)
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v6
-        with:
-          node-version: "22"
-          cache: "pnpm"
-          cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
-
-      - name: Install JavaScript dependencies
-        working-directory: autogpt_platform/frontend
-        run: pnpm install --frozen-lockfile
-
       - name: Get CI failure details
         id: failure_details
         uses: actions/github-script@v8

.github/workflows/claude-dependabot.yml

@@ -77,15 +77,27 @@ jobs:
         run: poetry run prisma generate && poetry run gen-prisma-stub
 
       # Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
-      - name: Enable corepack
-        run: corepack enable
-
       - name: Set up Node.js
         uses: actions/setup-node@v6
         with:
           node-version: "22"
-          cache: "pnpm"
-          cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
+
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Set pnpm store directory
+        run: |
+          pnpm config set store-dir ~/.pnpm-store
+          echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
+
+      - name: Cache frontend dependencies
+        uses: actions/cache@v5
+        with:
+          path: ~/.pnpm-store
+          key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
 
       - name: Install JavaScript dependencies
         working-directory: autogpt_platform/frontend

.github/workflows/claude.yml

@@ -93,15 +93,27 @@ jobs:
         run: poetry run prisma generate && poetry run gen-prisma-stub
 
       # Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
-      - name: Enable corepack
-        run: corepack enable
-
       - name: Set up Node.js
         uses: actions/setup-node@v6
         with:
           node-version: "22"
-          cache: "pnpm"
-          cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
+
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Set pnpm store directory
+        run: |
+          pnpm config set store-dir ~/.pnpm-store
+          echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
+
+      - name: Cache frontend dependencies
+        uses: actions/cache@v5
+        with:
+          path: ~/.pnpm-store
+          key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
 
       - name: Install JavaScript dependencies
         working-directory: autogpt_platform/frontend

.github/workflows/platform-frontend-ci.yml

@@ -26,6 +26,7 @@ jobs:
   setup:
     runs-on: ubuntu-latest
     outputs:
+      cache-key: ${{ steps.cache-key.outputs.key }}
       components-changed: ${{ steps.filter.outputs.components }}
 
     steps:
@@ -40,17 +41,28 @@ jobs:
             components:
               - 'autogpt_platform/frontend/src/components/**'
 
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set up Node
+      - name: Set up Node.js
         uses: actions/setup-node@v6
         with:
           node-version: "22.18.0"
-          cache: "pnpm"
-          cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
 
-      - name: Install dependencies to populate cache
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Generate cache key
+        id: cache-key
+        run: echo "key=${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}" >> $GITHUB_OUTPUT
+
+      - name: Cache dependencies
+        uses: actions/cache@v5
+        with:
+          path: ~/.pnpm-store
+          key: ${{ steps.cache-key.outputs.key }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
+
+      - name: Install dependencies
         run: pnpm install --frozen-lockfile
 
   lint:
@@ -61,15 +73,22 @@ jobs:
       - name: Checkout repository
         uses: actions/checkout@v6
 
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set up Node
+      - name: Set up Node.js
         uses: actions/setup-node@v6
         with:
           node-version: "22.18.0"
-          cache: "pnpm"
-          cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
+
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Restore dependencies cache
+        uses: actions/cache@v5
+        with:
+          path: ~/.pnpm-store
+          key: ${{ needs.setup.outputs.cache-key }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
 
       - name: Install dependencies
         run: pnpm install --frozen-lockfile
@@ -92,15 +111,22 @@ jobs:
         with:
           fetch-depth: 0
 
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set up Node
+      - name: Set up Node.js
         uses: actions/setup-node@v6
         with:
           node-version: "22.18.0"
-          cache: "pnpm"
-          cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
+
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Restore dependencies cache
+        uses: actions/cache@v5
+        with:
+          path: ~/.pnpm-store
+          key: ${{ needs.setup.outputs.cache-key }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
 
       - name: Install dependencies
         run: pnpm install --frozen-lockfile
@@ -115,8 +141,10 @@ jobs:
           exitOnceUploaded: true
 
   e2e_test:
-    name: end-to-end tests
     runs-on: big-boi
+    needs: setup
+    strategy:
+      fail-fast: false
 
     steps:
       - name: Checkout repository
@@ -124,11 +152,19 @@ jobs:
         with:
           submodules: recursive
 
-      - name: Set up Platform - Copy default supabase .env
+      - name: Set up Node.js
+        uses: actions/setup-node@v6
+        with:
+          node-version: "22.18.0"
+
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Copy default supabase .env
         run: |
           cp ../.env.default ../.env
 
-      - name: Set up Platform - Copy backend .env and set OpenAI API key
+      - name: Copy backend .env and set OpenAI API key
         run: |
           cp ../backend/.env.default ../backend/.env
           echo "OPENAI_INTERNAL_API_KEY=${{ secrets.OPENAI_API_KEY }}" >> ../backend/.env
@@ -136,125 +172,77 @@ jobs:
           # Used by E2E test data script to generate embeddings for approved store agents
           OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
 
-      - name: Set up Platform - Set up Docker Buildx
+      - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v3
-        with:
-          driver: docker-container
-          driver-opts: network=host
 
-      - name: Set up Platform - Expose GHA cache to docker buildx CLI
-        uses: crazy-max/ghaction-github-runtime@v3
-
-      - name: Set up Platform - Build Docker images (with cache)
-        working-directory: autogpt_platform
-        run: |
-          pip install pyyaml
-
-          # Resolve extends and generate a flat compose file that bake can understand
-          docker compose -f docker-compose.yml config > docker-compose.resolved.yml
-
-          # Add cache configuration to the resolved compose file
-          python ../.github/workflows/scripts/docker-ci-fix-compose-build-cache.py \
-            --source docker-compose.resolved.yml \
-            --cache-from "type=gha" \
-            --cache-to "type=gha,mode=max" \
-            --backend-hash "${{ hashFiles('autogpt_platform/backend/Dockerfile', 'autogpt_platform/backend/poetry.lock', 'autogpt_platform/backend/backend') }}" \
-            --frontend-hash "${{ hashFiles('autogpt_platform/frontend/Dockerfile', 'autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/src') }}" \
-            --git-ref "${{ github.ref }}"
-
-          # Build with bake using the resolved compose file (now includes cache config)
-          docker buildx bake --allow=fs.read=.. -f docker-compose.resolved.yml --load
-        env:
-          NEXT_PUBLIC_PW_TEST: true
-
-      - name: Set up tests - Cache E2E test data
-        id: e2e-data-cache
+      - name: Cache Docker layers
         uses: actions/cache@v5
         with:
-          path: /tmp/e2e_test_data.sql
-          key: e2e-test-data-${{ hashFiles('autogpt_platform/backend/test/e2e_test_data.py', 'autogpt_platform/backend/migrations/**', '.github/workflows/platform-frontend-ci.yml') }}
+          path: /tmp/.buildx-cache
+          key: ${{ runner.os }}-buildx-frontend-test-${{ hashFiles('autogpt_platform/docker-compose.yml', 'autogpt_platform/backend/Dockerfile', 'autogpt_platform/backend/pyproject.toml', 'autogpt_platform/backend/poetry.lock') }}
+          restore-keys: |
+            ${{ runner.os }}-buildx-frontend-test-
 
-      - name: Set up Platform - Start Supabase DB + Auth
+      - name: Run docker compose
         run: |
-          docker compose -f ../docker-compose.resolved.yml up -d db auth --no-build
-          echo "Waiting for database to be ready..."
-          timeout 60 sh -c 'until docker compose -f ../docker-compose.resolved.yml exec -T db pg_isready -U postgres 2>/dev/null; do sleep 2; done'
-          echo "Waiting for auth service to be ready..."
-          timeout 60 sh -c 'until docker compose -f ../docker-compose.resolved.yml exec -T db psql -U postgres -d postgres -c "SELECT 1 FROM auth.users LIMIT 1" 2>/dev/null; do sleep 2; done' || echo "Auth schema check timeout, continuing..."
-
-      - name: Set up Platform - Run migrations
-        run: |
-          echo "Running migrations..."
-          docker compose -f ../docker-compose.resolved.yml run --rm migrate
-          echo "✅ Migrations completed"
+          NEXT_PUBLIC_PW_TEST=true docker compose -f ../docker-compose.yml up -d
         env:
-          NEXT_PUBLIC_PW_TEST: true
+          DOCKER_BUILDKIT: 1
+          BUILDX_CACHE_FROM: type=local,src=/tmp/.buildx-cache
+          BUILDX_CACHE_TO: type=local,dest=/tmp/.buildx-cache-new,mode=max
 
-      - name: Set up tests - Load cached E2E test data
-        if: steps.e2e-data-cache.outputs.cache-hit == 'true'
+      - name: Move cache
         run: |
-          echo "✅ Found cached E2E test data, restoring..."
-          {
-            echo "SET session_replication_role = 'replica';"
-            cat /tmp/e2e_test_data.sql
-            echo "SET session_replication_role = 'origin';"
-          } | docker compose -f ../docker-compose.resolved.yml exec -T db psql -U postgres -d postgres -b
-          # Refresh materialized views after restore
-          docker compose -f ../docker-compose.resolved.yml exec -T db \
-            psql -U postgres -d postgres -b -c "SET search_path TO platform; SELECT refresh_store_materialized_views();" || true
+          rm -rf /tmp/.buildx-cache
+          if [ -d "/tmp/.buildx-cache-new" ]; then
+            mv /tmp/.buildx-cache-new /tmp/.buildx-cache
+          fi
 
-          echo "✅ E2E test data restored from cache"
-
-      - name: Set up Platform - Start (all other services)
+      - name: Wait for services to be ready
         run: |
-          docker compose -f ../docker-compose.resolved.yml up -d --no-build
           echo "Waiting for rest_server to be ready..."
           timeout 60 sh -c 'until curl -f http://localhost:8006/health 2>/dev/null; do sleep 2; done' || echo "Rest server health check timeout, continuing..."
-        env:
-          NEXT_PUBLIC_PW_TEST: true
+          echo "Waiting for database to be ready..."
+          timeout 60 sh -c 'until docker compose -f ../docker-compose.yml exec -T db pg_isready -U postgres 2>/dev/null; do sleep 2; done' || echo "Database ready check timeout, continuing..."
 
-      - name: Set up tests - Create E2E test data
-        if: steps.e2e-data-cache.outputs.cache-hit != 'true'
+      - name: Create E2E test data
         run: |
           echo "Creating E2E test data..."
-          docker cp ../backend/test/e2e_test_data.py $(docker compose -f ../docker-compose.resolved.yml ps -q rest_server):/tmp/e2e_test_data.py
-          docker compose -f ../docker-compose.resolved.yml exec -T rest_server sh -c "cd /app/autogpt_platform && python /tmp/e2e_test_data.py" || {
-            echo "❌ E2E test data creation failed!"
-            docker compose -f ../docker-compose.resolved.yml logs --tail=50 rest_server
-            exit 1
-          }
+          # First try to run the script from inside the container
+          if docker compose -f ../docker-compose.yml exec -T rest_server test -f /app/autogpt_platform/backend/test/e2e_test_data.py; then
+            echo "✅ Found e2e_test_data.py in container, running it..."
+            docker compose -f ../docker-compose.yml exec -T rest_server sh -c "cd /app/autogpt_platform && python backend/test/e2e_test_data.py" || {
+              echo "❌ E2E test data creation failed!"
+              docker compose -f ../docker-compose.yml logs --tail=50 rest_server
+              exit 1
+            }
+          else
+            echo "⚠️ e2e_test_data.py not found in container, copying and running..."
+            # Copy the script into the container and run it
+            docker cp ../backend/test/e2e_test_data.py $(docker compose -f ../docker-compose.yml ps -q rest_server):/tmp/e2e_test_data.py || {
+              echo "❌ Failed to copy script to container"
+              exit 1
+            }
+            docker compose -f ../docker-compose.yml exec -T rest_server sh -c "cd /app/autogpt_platform && python /tmp/e2e_test_data.py" || {
+              echo "❌ E2E test data creation failed!"
+              docker compose -f ../docker-compose.yml logs --tail=50 rest_server
+              exit 1
+            }
+          fi
 
-          # Dump auth.users + platform schema for cache (two separate dumps)
-          echo "Dumping database for cache..."
-          {
-            docker compose -f ../docker-compose.resolved.yml exec -T db \
-              pg_dump -U postgres --data-only --column-inserts \
-              --table='auth.users' postgres
-            docker compose -f ../docker-compose.resolved.yml exec -T db \
-              pg_dump -U postgres --data-only --column-inserts \
-              --schema=platform \
-              --exclude-table='platform._prisma_migrations' \
-              --exclude-table='platform.apscheduler_jobs' \
-              --exclude-table='platform.apscheduler_jobs_batched_notifications' \
-              postgres
-          } > /tmp/e2e_test_data.sql
-
-          echo "✅ Database dump created for caching ($(wc -l < /tmp/e2e_test_data.sql) lines)"
-
-      - name: Set up tests - Enable corepack
-        run: corepack enable
-
-      - name: Set up tests - Set up Node
-        uses: actions/setup-node@v6
+      - name: Restore dependencies cache
+        uses: actions/cache@v5
         with:
-          node-version: "22.18.0"
-          cache: "pnpm"
-          cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
+          path: ~/.pnpm-store
+          key: ${{ needs.setup.outputs.cache-key }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
 
-      - name: Set up tests - Install dependencies
+      - name: Install dependencies
         run: pnpm install --frozen-lockfile
 
-      - name: Set up tests - Install browser 'chromium'
+      - name: Install Browser 'chromium'
         run: pnpm playwright install --with-deps chromium
 
       - name: Run Playwright tests
@@ -281,7 +269,7 @@ jobs:
 
       - name: Print Final Docker Compose logs
         if: always()
-        run: docker compose -f ../docker-compose.resolved.yml logs
+        run: docker compose -f ../docker-compose.yml logs
 
   integration_test:
     runs-on: ubuntu-latest
@@ -293,15 +281,22 @@ jobs:
         with:
           submodules: recursive
 
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set up Node
+      - name: Set up Node.js
         uses: actions/setup-node@v6
         with:
           node-version: "22.18.0"
-          cache: "pnpm"
-          cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
+
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Restore dependencies cache
+        uses: actions/cache@v5
+        with:
+          path: ~/.pnpm-store
+          key: ${{ needs.setup.outputs.cache-key }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
 
       - name: Install dependencies
         run: pnpm install --frozen-lockfile

.github/workflows/scripts/docker-ci-fix-compose-build-cache.py

@@ -1,195 +0,0 @@
-#!/usr/bin/env python3
-"""
-Add cache configuration to a resolved docker-compose file for all services
-that have a build key, and ensure image names match what docker compose expects.
-"""
-
-import argparse
-
-import yaml
-
-
-DEFAULT_BRANCH = "dev"
-CACHE_BUILDS_FOR_COMPONENTS = ["backend", "frontend"]
-
-
-def main():
-    parser = argparse.ArgumentParser(
-        description="Add cache config to a resolved compose file"
-    )
-    parser.add_argument(
-        "--source",
-        required=True,
-        help="Source compose file to read (should be output of `docker compose config`)",
-    )
-    parser.add_argument(
-        "--cache-from",
-        default="type=gha",
-        help="Cache source configuration",
-    )
-    parser.add_argument(
-        "--cache-to",
-        default="type=gha,mode=max",
-        help="Cache destination configuration",
-    )
-    for component in CACHE_BUILDS_FOR_COMPONENTS:
-        parser.add_argument(
-            f"--{component}-hash",
-            default="",
-            help=f"Hash for {component} cache scope (e.g., from hashFiles())",
-        )
-    parser.add_argument(
-        "--git-ref",
-        default="",
-        help="Git ref for branch-based cache scope (e.g., refs/heads/master)",
-    )
-    args = parser.parse_args()
-
-    # Normalize git ref to a safe scope name (e.g., refs/heads/master -> master)
-    git_ref_scope = ""
-    if args.git_ref:
-        git_ref_scope = args.git_ref.replace("refs/heads/", "").replace("/", "-")
-
-    with open(args.source, "r") as f:
-        compose = yaml.safe_load(f)
-
-    # Get project name from compose file or default
-    project_name = compose.get("name", "autogpt_platform")
-
-    def get_image_name(dockerfile: str, target: str) -> str:
-        """Generate image name based on Dockerfile folder and build target."""
-        dockerfile_parts = dockerfile.replace("\\", "/").split("/")
-        if len(dockerfile_parts) >= 2:
-            folder_name = dockerfile_parts[-2]  # e.g., "backend" or "frontend"
-        else:
-            folder_name = "app"
-        return f"{project_name}-{folder_name}:{target}"
-
-    def get_build_key(dockerfile: str, target: str) -> str:
-        """Generate a unique key for a Dockerfile+target combination."""
-        return f"{dockerfile}:{target}"
-
-    def get_component(dockerfile: str) -> str | None:
-        """Get component name (frontend/backend) from dockerfile path."""
-        for component in CACHE_BUILDS_FOR_COMPONENTS:
-            if component in dockerfile:
-                return component
-        return None
-
-    # First pass: collect all services with build configs and identify duplicates
-    # Track which (dockerfile, target) combinations we've seen
-    build_key_to_first_service: dict[str, str] = {}
-    services_to_build: list[str] = []
-    services_to_dedupe: list[str] = []
-
-    for service_name, service_config in compose.get("services", {}).items():
-        if "build" not in service_config:
-            continue
-
-        build_config = service_config["build"]
-        dockerfile = build_config.get("dockerfile", "Dockerfile")
-        target = build_config.get("target", "default")
-        build_key = get_build_key(dockerfile, target)
-
-        if build_key not in build_key_to_first_service:
-            # First service with this build config - it will do the actual build
-            build_key_to_first_service[build_key] = service_name
-            services_to_build.append(service_name)
-        else:
-            # Duplicate - will just use the image from the first service
-            services_to_dedupe.append(service_name)
-
-    # Second pass: configure builds and deduplicate
-    modified_services = []
-    for service_name, service_config in compose.get("services", {}).items():
-        if "build" not in service_config:
-            continue
-
-        build_config = service_config["build"]
-        dockerfile = build_config.get("dockerfile", "Dockerfile")
-        target = build_config.get("target", "latest")
-        image_name = get_image_name(dockerfile, target)
-
-        # Set image name for all services (needed for both builders and deduped)
-        service_config["image"] = image_name
-
-        if service_name in services_to_dedupe:
-            # Remove build config - this service will use the pre-built image
-            del service_config["build"]
-            continue
-
-        # This service will do the actual build - add cache config
-        cache_from_list = []
-        cache_to_list = []
-
-        component = get_component(dockerfile)
-        if not component:
-            # Skip services that don't clearly match frontend/backend
-            continue
-
-        # Get the hash for this component
-        component_hash = getattr(args, f"{component}_hash")
-
-        # Scope format: platform-{component}-{target}-{hash|ref}
-        # Example: platform-backend-server-abc123
-
-        if "type=gha" in args.cache_from:
-            # 1. Primary: exact hash match (most specific)
-            if component_hash:
-                hash_scope = f"platform-{component}-{target}-{component_hash}"
-                cache_from_list.append(f"{args.cache_from},scope={hash_scope}")
-
-            # 2. Fallback: branch-based cache
-            if git_ref_scope:
-                ref_scope = f"platform-{component}-{target}-{git_ref_scope}"
-                cache_from_list.append(f"{args.cache_from},scope={ref_scope}")
-
-            # 3. Fallback: dev branch cache (for PRs/feature branches)
-            if git_ref_scope and git_ref_scope != DEFAULT_BRANCH:
-                master_scope = f"platform-{component}-{target}-{DEFAULT_BRANCH}"
-                cache_from_list.append(f"{args.cache_from},scope={master_scope}")
-
-        if "type=gha" in args.cache_to:
-            # Write to both hash-based and branch-based scopes
-            if component_hash:
-                hash_scope = f"platform-{component}-{target}-{component_hash}"
-                cache_to_list.append(f"{args.cache_to},scope={hash_scope}")
-
-            if git_ref_scope:
-                ref_scope = f"platform-{component}-{target}-{git_ref_scope}"
-                cache_to_list.append(f"{args.cache_to},scope={ref_scope}")
-
-        # Ensure we have at least one cache source/target
-        if not cache_from_list:
-            cache_from_list.append(args.cache_from)
-        if not cache_to_list:
-            cache_to_list.append(args.cache_to)
-
-        build_config["cache_from"] = cache_from_list
-        build_config["cache_to"] = cache_to_list
-        modified_services.append(service_name)
-
-    # Write back to the same file
-    with open(args.source, "w") as f:
-        yaml.dump(compose, f, default_flow_style=False, sort_keys=False)
-
-    print(f"Added cache config to {len(modified_services)} services in {args.source}:")
-    for svc in modified_services:
-        svc_config = compose["services"][svc]
-        build_cfg = svc_config.get("build", {})
-        cache_from_list = build_cfg.get("cache_from", ["none"])
-        cache_to_list = build_cfg.get("cache_to", ["none"])
-        print(f"  - {svc}")
-        print(f"      image: {svc_config.get('image', 'N/A')}")
-        print(f"      cache_from: {cache_from_list}")
-        print(f"      cache_to: {cache_to_list}")
-    if services_to_dedupe:
-        print(
-            f"Deduplicated {len(services_to_dedupe)} services (will use pre-built images):"
-        )
-        for svc in services_to_dedupe:
-            print(f"  - {svc} -> {compose['services'][svc].get('image', 'N/A')}")
-
-
-if __name__ == "__main__":
-    main()

autogpt_platform/CLAUDE.md

@@ -45,11 +45,6 @@ AutoGPT Platform is a monorepo containing:
 - Backend/Frontend services use YAML anchors for consistent configuration
 - Supabase services (`db/docker/docker-compose.yml`) follow the same pattern
 
-### Branching Strategy
-
-- **`dev`** is the main development branch. All PRs should target `dev`.
-- **`master`** is the production branch. Only used for production releases.
-
 ### Creating Pull Requests
 
 - Create the PR against the `dev` branch of the repository.

autogpt_platform/autogpt_libs/poetry.lock

@@ -448,61 +448,61 @@ toml = ["tomli ; python_full_version <= \"3.11.0a6\""]
 
 [[package]]
 name = "cryptography"
-version = "46.0.5"
+version = "46.0.4"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = "!=3.9.0,!=3.9.1,>=3.8"
 groups = ["main"]
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+    {file = "cryptography-46.0.4-pp311-pypy311_pp73-manylinux_2_34_aarch64.whl", hash = "sha256:fdc3daab53b212472f1524d070735b2f0c214239df131903bae1d598016fa822"},
+    {file = "cryptography-46.0.4-pp311-pypy311_pp73-manylinux_2_34_x86_64.whl", hash = "sha256:44cc0675b27cadb71bdbb96099cca1fa051cd11d2ade09e5cd3a2edb929ed947"},
+    {file = "cryptography-46.0.4-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:be8c01a7d5a55f9a47d1888162b76c8f49d62b234d88f0ff91a9fbebe32ffbc3"},
+    {file = "cryptography-46.0.4.tar.gz", hash = "sha256:bfd019f60f8abc2ed1b9be4ddc21cfef059c841d86d710bb69909a688cbb8f59"},
 ]
 
 [package.dependencies]
@@ -516,7 +516,7 @@ nox = ["nox[uv] (>=2024.4.15)"]
 pep8test = ["check-sdist", "click (>=8.0.1)", "mypy (>=1.14)", "ruff (>=0.11.11)"]
 sdist = ["build (>=1.0.0)"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["certifi (>=2024)", "cryptography-vectors (==46.0.5)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
+test = ["certifi (>=2024)", "cryptography-vectors (==46.0.4)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
 test-randomorder = ["pytest-randomly"]
 
 [[package]]
@@ -570,25 +570,24 @@ tests = ["coverage", "coveralls", "dill", "mock", "nose"]
 
 [[package]]
 name = "fastapi"
-version = "0.128.7"
+version = "0.128.0"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "fastapi-0.128.7-py3-none-any.whl", hash = "sha256:6bd9bd31cb7047465f2d3fa3ba3f33b0870b17d4eaf7cdb36d1576ab060ad662"},
-    {file = "fastapi-0.128.7.tar.gz", hash = "sha256:783c273416995486c155ad2c0e2b45905dedfaf20b9ef8d9f6a9124670639a24"},
+    {file = "fastapi-0.128.0-py3-none-any.whl", hash = "sha256:aebd93f9716ee3b4f4fcfe13ffb7cf308d99c9f3ab5622d8877441072561582d"},
+    {file = "fastapi-0.128.0.tar.gz", hash = "sha256:1cc179e1cef10a6be60ffe429f79b829dce99d8de32d7acb7e6c8dfdf7f2645a"},
 ]
 
 [package.dependencies]
 annotated-doc = ">=0.0.2"
 pydantic = ">=2.7.0"
-starlette = ">=0.40.0,<1.0.0"
+starlette = ">=0.40.0,<0.51.0"
 typing-extensions = ">=4.8.0"
-typing-inspection = ">=0.4.2"
 
 [package.extras]
-all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0,<1.0.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=3.1.5)", "orjson (>=3.9.3)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "ujson (>=5.8.0)", "uvicorn[standard] (>=0.12.0)"]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0,<1.0.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=3.1.5)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
 standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0,<1.0.0)", "jinja2 (>=3.1.5)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
 standard-no-fastapi-cloud-cli = ["email-validator (>=2.0.0)", "fastapi-cli[standard-no-fastapi-cloud-cli] (>=0.0.8)", "httpx (>=0.23.0,<1.0.0)", "jinja2 (>=3.1.5)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
 
@@ -1063,14 +1062,14 @@ urllib3 = ">=1.26.0,<3"
 
 [[package]]
 name = "launchdarkly-server-sdk"
-version = "9.15.0"
+version = "9.14.1"
 description = "LaunchDarkly SDK for Python"
 optional = false
-python-versions = ">=3.10"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "launchdarkly_server_sdk-9.15.0-py3-none-any.whl", hash = "sha256:c267e29bfa3fb5e2a06a208448ada6ed5557a2924979b8d79c970b45d227c668"},
-    {file = "launchdarkly_server_sdk-9.15.0.tar.gz", hash = "sha256:f31441b74bc1a69c381db57c33116509e407a2612628ad6dff0a7dbb39d5020b"},
+    {file = "launchdarkly_server_sdk-9.14.1-py3-none-any.whl", hash = "sha256:a9e2bd9ecdef845cd631ae0d4334a1115e5b44257c42eb2349492be4bac7815c"},
+    {file = "launchdarkly_server_sdk-9.14.1.tar.gz", hash = "sha256:1df44baf0a0efa74d8c1dad7a00592b98bce7d19edded7f770da8dbc49922213"},
 ]
 
 [package.dependencies]
@@ -1479,14 +1478,14 @@ testing = ["coverage", "pytest", "pytest-benchmark"]
 
 [[package]]
 name = "postgrest"
-version = "2.28.0"
+version = "2.27.2"
 description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "postgrest-2.28.0-py3-none-any.whl", hash = "sha256:7bca2f24dd1a1bf8a3d586c7482aba6cd41662da6733045fad585b63b7f7df75"},
-    {file = "postgrest-2.28.0.tar.gz", hash = "sha256:c36b38646d25ea4255321d3d924ce70f8d20ec7799cb42c1221d6a818d4f6515"},
+    {file = "postgrest-2.27.2-py3-none-any.whl", hash = "sha256:1666fef3de05ca097a314433dd5ae2f2d71c613cb7b233d0f468c4ffe37277da"},
+    {file = "postgrest-2.27.2.tar.gz", hash = "sha256:55407d530b5af3d64e883a71fec1f345d369958f723ce4a8ab0b7d169e313242"},
 ]
 
 [package.dependencies]
@@ -2249,14 +2248,14 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "realtime"
-version = "2.28.0"
+version = "2.27.2"
 description = ""
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "realtime-2.28.0-py3-none-any.whl", hash = "sha256:db1bd59bab9b1fcc9f9d3b1a073bed35bf4994d720e6751f10031a58d57a3836"},
-    {file = "realtime-2.28.0.tar.gz", hash = "sha256:d18cedcebd6a8f22fcd509bc767f639761eb218b7b2b6f14fc4205b6259b50fc"},
+    {file = "realtime-2.27.2-py3-none-any.whl", hash = "sha256:34a9cbb26a274e707e8fc9e3ee0a66de944beac0fe604dc336d1e985db2c830f"},
+    {file = "realtime-2.27.2.tar.gz", hash = "sha256:b960a90294d2cea1b3f1275ecb89204304728e08fff1c393cc1b3150739556b3"},
 ]
 
 [package.dependencies]
@@ -2437,14 +2436,14 @@ full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart
 
 [[package]]
 name = "storage3"
-version = "2.28.0"
+version = "2.27.2"
 description = "Supabase Storage client for Python."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "storage3-2.28.0-py3-none-any.whl", hash = "sha256:ecb50efd2ac71dabbdf97e99ad346eafa630c4c627a8e5a138ceb5fbbadae716"},
-    {file = "storage3-2.28.0.tar.gz", hash = "sha256:bc1d008aff67de7a0f2bd867baee7aadbcdb6f78f5a310b4f7a38e8c13c19865"},
+    {file = "storage3-2.27.2-py3-none-any.whl", hash = "sha256:e6f16e7a260729e7b1f46e9bf61746805a02e30f5e419ee1291007c432e3ec63"},
+    {file = "storage3-2.27.2.tar.gz", hash = "sha256:cb4807b7f86b4bb1272ac6fdd2f3cfd8ba577297046fa5f88557425200275af5"},
 ]
 
 [package.dependencies]
@@ -2488,35 +2487,35 @@ python-dateutil = ">=2.6.0"
 
 [[package]]
 name = "supabase"
-version = "2.28.0"
+version = "2.27.2"
 description = "Supabase client for Python."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "supabase-2.28.0-py3-none-any.whl", hash = "sha256:42776971c7d0ccca16034df1ab96a31c50228eb1eb19da4249ad2f756fc20272"},
-    {file = "supabase-2.28.0.tar.gz", hash = "sha256:aea299aaab2a2eed3c57e0be7fc035c6807214194cce795a3575add20268ece1"},
+    {file = "supabase-2.27.2-py3-none-any.whl", hash = "sha256:d4dce00b3a418ee578017ec577c0e5be47a9a636355009c76f20ed2faa15bc54"},
+    {file = "supabase-2.27.2.tar.gz", hash = "sha256:2aed40e4f3454438822442a1e94a47be6694c2c70392e7ae99b51a226d4293f7"},
 ]
 
 [package.dependencies]
 httpx = ">=0.26,<0.29"
-postgrest = "2.28.0"
-realtime = "2.28.0"
-storage3 = "2.28.0"
-supabase-auth = "2.28.0"
-supabase-functions = "2.28.0"
+postgrest = "2.27.2"
+realtime = "2.27.2"
+storage3 = "2.27.2"
+supabase-auth = "2.27.2"
+supabase-functions = "2.27.2"
 yarl = ">=1.22.0"
 
 [[package]]
 name = "supabase-auth"
-version = "2.28.0"
+version = "2.27.2"
 description = "Python Client Library for Supabase Auth"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "supabase_auth-2.28.0-py3-none-any.whl", hash = "sha256:2ac85026cc285054c7fa6d41924f3a333e9ec298c013e5b5e1754039ba7caec9"},
-    {file = "supabase_auth-2.28.0.tar.gz", hash = "sha256:2bb8f18ff39934e44b28f10918db965659f3735cd6fbfcc022fe0b82dbf8233e"},
+    {file = "supabase_auth-2.27.2-py3-none-any.whl", hash = "sha256:78ec25b11314d0a9527a7205f3b1c72560dccdc11b38392f80297ef98664ee91"},
+    {file = "supabase_auth-2.27.2.tar.gz", hash = "sha256:0f5bcc79b3677cb42e9d321f3c559070cfa40d6a29a67672cc8382fb7dc2fe97"},
 ]
 
 [package.dependencies]
@@ -2526,14 +2525,14 @@ pyjwt = {version = ">=2.10.1", extras = ["crypto"]}
 
 [[package]]
 name = "supabase-functions"
-version = "2.28.0"
+version = "2.27.2"
 description = "Library for Supabase Functions"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "supabase_functions-2.28.0-py3-none-any.whl", hash = "sha256:30bf2d586f8df285faf0621bb5d5bb3ec3157234fc820553ca156f009475e4ae"},
-    {file = "supabase_functions-2.28.0.tar.gz", hash = "sha256:db3dddfc37aca5858819eb461130968473bd8c75bd284581013958526dac718b"},
+    {file = "supabase_functions-2.27.2-py3-none-any.whl", hash = "sha256:db480efc669d0bca07605b9b6f167312af43121adcc842a111f79bea416ef754"},
+    {file = "supabase_functions-2.27.2.tar.gz", hash = "sha256:d0c8266207a94371cb3fd35ad3c7f025b78a97cf026861e04ccd35ac1775f80b"},
 ]
 
 [package.dependencies]
@@ -2912,4 +2911,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<4.0"
-content-hash = "9619cae908ad38fa2c48016a58bcf4241f6f5793aa0e6cc140276e91c433cbbb"
+content-hash = "40eae94995dc0a388fa832ed4af9b6137f28d5b5ced3aaea70d5f91d4d9a179d"

autogpt_platform/autogpt_libs/pyproject.toml

@@ -11,14 +11,14 @@ python = ">=3.10,<4.0"
 colorama = "^0.4.6"
 cryptography = "^46.0"
 expiringdict = "^1.2.2"
-fastapi = "^0.128.7"
+fastapi = "^0.128.0"
 google-cloud-logging = "^3.13.0"
-launchdarkly-server-sdk = "^9.15.0"
+launchdarkly-server-sdk = "^9.14.1"
 pydantic = "^2.12.5"
 pydantic-settings = "^2.12.0"
 pyjwt = { version = "^2.11.0", extras = ["crypto"] }
 redis = "^6.2.0"
-supabase = "^2.28.0"
+supabase = "^2.27.2"
 uvicorn = "^0.40.0"
 
 [tool.poetry.group.dev.dependencies]

autogpt_platform/backend/Dockerfile

@@ -1,5 +1,3 @@
-# ============================ DEPENDENCY BUILDER ============================ #
-
 FROM debian:13-slim AS builder
 
 # Set environment variables
@@ -53,9 +51,7 @@ COPY autogpt_platform/backend/backend/data/partial_types.py ./backend/data/parti
 COPY autogpt_platform/backend/gen_prisma_types_stub.py ./
 RUN poetry run prisma generate && poetry run gen-prisma-stub
 
-# ============================== BACKEND SERVER ============================== #
-
-FROM debian:13-slim AS server
+FROM debian:13-slim AS server_dependencies
 
 WORKDIR /app
 
@@ -67,14 +63,15 @@ ENV POETRY_HOME=/opt/poetry \
 ENV PATH=/opt/poetry/bin:$PATH
 
 # Install Python, FFmpeg, and ImageMagick (required for video processing blocks)
-# Using --no-install-recommends saves ~650MB by skipping unnecessary deps like llvm, mesa, etc.
-RUN apt-get update && apt-get install -y --no-install-recommends \
+RUN apt-get update && apt-get install -y \
     python3.13 \
     python3-pip \
     ffmpeg \
     imagemagick \
     && rm -rf /var/lib/apt/lists/*
 
+# Copy only necessary files from builder
+COPY --from=builder /app /app
 COPY --from=builder /usr/local/lib/python3* /usr/local/lib/python3*
 COPY --from=builder /usr/local/bin/poetry /usr/local/bin/poetry
 # Copy Node.js installation for Prisma
@@ -84,54 +81,30 @@ COPY --from=builder /usr/bin/npm /usr/bin/npm
 COPY --from=builder /usr/bin/npx /usr/bin/npx
 COPY --from=builder /root/.cache/prisma-python/binaries /root/.cache/prisma-python/binaries
 
-WORKDIR /app/autogpt_platform/backend
-
-# Copy only the .venv from builder (not the entire /app directory)
-# The .venv includes the generated Prisma client
-COPY --from=builder /app/autogpt_platform/backend/.venv ./.venv
 ENV PATH="/app/autogpt_platform/backend/.venv/bin:$PATH"
 
-# Copy dependency files + autogpt_libs (path dependency)
-COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
-COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.toml ./
+RUN mkdir -p /app/autogpt_platform/autogpt_libs
+RUN mkdir -p /app/autogpt_platform/backend
 
-# Copy backend code + docs (for Copilot docs search)
-COPY autogpt_platform/backend ./
+COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
+
+COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.toml /app/autogpt_platform/backend/
+
+WORKDIR /app/autogpt_platform/backend
+
+FROM server_dependencies AS migrate
+
+# Migration stage only needs schema and migrations - much lighter than full backend
+COPY autogpt_platform/backend/schema.prisma /app/autogpt_platform/backend/
+COPY autogpt_platform/backend/backend/data/partial_types.py /app/autogpt_platform/backend/backend/data/partial_types.py
+COPY autogpt_platform/backend/migrations /app/autogpt_platform/backend/migrations
+
+FROM server_dependencies AS server
+
+COPY autogpt_platform/backend /app/autogpt_platform/backend
 COPY docs /app/docs
 RUN poetry install --no-ansi --only-root
 
 ENV PORT=8000
 
 CMD ["poetry", "run", "rest"]
-
-# =============================== DB MIGRATOR =============================== #
-
-# Lightweight migrate stage - only needs Prisma CLI, not full Python environment
-FROM debian:13-slim AS migrate
-
-WORKDIR /app/autogpt_platform/backend
-
-ENV DEBIAN_FRONTEND=noninteractive
-
-# Install only what's needed for prisma migrate: Node.js and minimal Python for prisma-python
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    python3.13 \
-    python3-pip \
-    ca-certificates \
-    && rm -rf /var/lib/apt/lists/*
-
-# Copy Node.js from builder (needed for Prisma CLI)
-COPY --from=builder /usr/bin/node /usr/bin/node
-COPY --from=builder /usr/lib/node_modules /usr/lib/node_modules
-COPY --from=builder /usr/bin/npm /usr/bin/npm
-
-# Copy Prisma binaries
-COPY --from=builder /root/.cache/prisma-python/binaries /root/.cache/prisma-python/binaries
-
-# Install prisma-client-py directly (much smaller than copying full venv)
-RUN pip3 install prisma>=0.15.0 --break-system-packages
-
-COPY autogpt_platform/backend/schema.prisma ./
-COPY autogpt_platform/backend/backend/data/partial_types.py ./backend/data/partial_types.py
-COPY autogpt_platform/backend/gen_prisma_types_stub.py ./
-COPY autogpt_platform/backend/migrations ./migrations

autogpt_platform/backend/backend/api/features/chat/routes.py

@@ -24,7 +24,6 @@ from .tools.models import (
     AgentPreviewResponse,
     AgentSavedResponse,
     AgentsFoundResponse,
-    BlockDetailsResponse,
     BlockListResponse,
     BlockOutputResponse,
     ClarificationNeededResponse,
@@ -972,7 +971,6 @@ ToolResponseUnion = (
     | AgentSavedResponse
     | ClarificationNeededResponse
     | BlockListResponse
-    | BlockDetailsResponse
     | BlockOutputResponse
     | DocSearchResultsResponse
     | DocPageResponse

autogpt_platform/backend/backend/api/features/chat/tools/find_block.py

@@ -7,6 +7,7 @@ from backend.api.features.chat.model import ChatSession
 from backend.api.features.chat.tools.base import BaseTool, ToolResponseBase
 from backend.api.features.chat.tools.models import (
     BlockInfoSummary,
+    BlockInputFieldInfo,
     BlockListResponse,
     ErrorResponse,
     NoResultsResponse,
@@ -54,8 +55,7 @@ class FindBlockTool(BaseTool):
             "Blocks are reusable components that perform specific tasks like "
             "sending emails, making API calls, processing text, etc. "
             "IMPORTANT: Use this tool FIRST to get the block's 'id' before calling run_block. "
-            "The response includes each block's id, name, and description. "
-            "Call run_block with the block's id **with no inputs** to see detailed inputs/outputs and execute it."
+            "The response includes each block's id, required_inputs, and input_schema."
         )
 
     @property
@@ -124,7 +124,7 @@ class FindBlockTool(BaseTool):
                     session_id=session_id,
                 )
 
-            # Enrich results with block information
+            # Enrich results with full block information
             blocks: list[BlockInfoSummary] = []
             for result in results:
                 block_id = result["content_id"]
@@ -141,11 +141,65 @@ class FindBlockTool(BaseTool):
                 ):
                     continue
 
+                # Get input/output schemas
+                input_schema = {}
+                output_schema = {}
+                try:
+                    input_schema = block.input_schema.jsonschema()
+                except Exception as e:
+                    logger.debug(
+                        "Failed to generate input schema for block %s: %s",
+                        block_id,
+                        e,
+                    )
+                try:
+                    output_schema = block.output_schema.jsonschema()
+                except Exception as e:
+                    logger.debug(
+                        "Failed to generate output schema for block %s: %s",
+                        block_id,
+                        e,
+                    )
+
+                # Get categories from block instance
+                categories = []
+                if hasattr(block, "categories") and block.categories:
+                    categories = [cat.value for cat in block.categories]
+
+                # Extract required inputs for easier use
+                required_inputs: list[BlockInputFieldInfo] = []
+                if input_schema:
+                    properties = input_schema.get("properties", {})
+                    required_fields = set(input_schema.get("required", []))
+                    # Get credential field names to exclude from required inputs
+                    credentials_fields = set(
+                        block.input_schema.get_credentials_fields().keys()
+                    )
+
+                    for field_name, field_schema in properties.items():
+                        # Skip credential fields - they're handled separately
+                        if field_name in credentials_fields:
+                            continue
+
+                        required_inputs.append(
+                            BlockInputFieldInfo(
+                                name=field_name,
+                                type=field_schema.get("type", "string"),
+                                description=field_schema.get("description", ""),
+                                required=field_name in required_fields,
+                                default=field_schema.get("default"),
+                            )
+                        )
+
                 blocks.append(
                     BlockInfoSummary(
                         id=block_id,
                         name=block.name,
                         description=block.description or "",
+                        categories=categories,
+                        input_schema=input_schema,
+                        output_schema=output_schema,
+                        required_inputs=required_inputs,
                     )
                 )
 
@@ -174,7 +228,8 @@ class FindBlockTool(BaseTool):
             return BlockListResponse(
                 message=(
                     f"Found {len(blocks)} block(s) matching '{query}'. "
-                    "To see a block's inputs/outputs and execute it, use run_block with the block's 'id' - providing no inputs."
+                    "To execute a block, use run_block with the block's 'id' field "
+                    "and provide 'input_data' matching the block's input_schema."
                 ),
                 blocks=blocks,
                 count=len(blocks),

autogpt_platform/backend/backend/api/features/chat/tools/find_block_test.py

@@ -18,13 +18,7 @@ _TEST_USER_ID = "test-user-find-block"
 
 
 def make_mock_block(
-    block_id: str,
-    name: str,
-    block_type: BlockType,
-    disabled: bool = False,
-    input_schema: dict | None = None,
-    output_schema: dict | None = None,
-    credentials_fields: dict | None = None,
+    block_id: str, name: str, block_type: BlockType, disabled: bool = False
 ):
     """Create a mock block for testing."""
     mock = MagicMock()
@@ -34,13 +28,10 @@ def make_mock_block(
     mock.block_type = block_type
     mock.disabled = disabled
     mock.input_schema = MagicMock()
-    mock.input_schema.jsonschema.return_value = input_schema or {
-        "properties": {},
-        "required": [],
-    }
-    mock.input_schema.get_credentials_fields.return_value = credentials_fields or {}
+    mock.input_schema.jsonschema.return_value = {"properties": {}, "required": []}
+    mock.input_schema.get_credentials_fields.return_value = {}
     mock.output_schema = MagicMock()
-    mock.output_schema.jsonschema.return_value = output_schema or {}
+    mock.output_schema.jsonschema.return_value = {}
     mock.categories = []
     return mock
 
@@ -146,241 +137,3 @@ class TestFindBlockFiltering:
         assert isinstance(response, BlockListResponse)
         assert len(response.blocks) == 1
         assert response.blocks[0].id == "normal-block-id"
-
-    @pytest.mark.asyncio(loop_scope="session")
-    async def test_response_size_average_chars_per_block(self):
-        """Measure average chars per block in the serialized response."""
-        session = make_session(user_id=_TEST_USER_ID)
-
-        # Realistic block definitions modeled after real blocks
-        block_defs = [
-            {
-                "id": "http-block-id",
-                "name": "Send Web Request",
-                "input_schema": {
-                    "properties": {
-                        "url": {
-                            "type": "string",
-                            "description": "The URL to send the request to",
-                        },
-                        "method": {
-                            "type": "string",
-                            "description": "The HTTP method to use",
-                        },
-                        "headers": {
-                            "type": "object",
-                            "description": "Headers to include in the request",
-                        },
-                        "json_format": {
-                            "type": "boolean",
-                            "description": "If true, send the body as JSON",
-                        },
-                        "body": {
-                            "type": "object",
-                            "description": "Form/JSON body payload",
-                        },
-                        "credentials": {
-                            "type": "object",
-                            "description": "HTTP credentials",
-                        },
-                    },
-                    "required": ["url", "method"],
-                },
-                "output_schema": {
-                    "properties": {
-                        "response": {
-                            "type": "object",
-                            "description": "The response from the server",
-                        },
-                        "client_error": {
-                            "type": "object",
-                            "description": "Errors on 4xx status codes",
-                        },
-                        "server_error": {
-                            "type": "object",
-                            "description": "Errors on 5xx status codes",
-                        },
-                        "error": {
-                            "type": "string",
-                            "description": "Errors for all other exceptions",
-                        },
-                    },
-                },
-                "credentials_fields": {"credentials": True},
-            },
-            {
-                "id": "email-block-id",
-                "name": "Send Email",
-                "input_schema": {
-                    "properties": {
-                        "to_email": {
-                            "type": "string",
-                            "description": "Recipient email address",
-                        },
-                        "subject": {
-                            "type": "string",
-                            "description": "Subject of the email",
-                        },
-                        "body": {
-                            "type": "string",
-                            "description": "Body of the email",
-                        },
-                        "config": {
-                            "type": "object",
-                            "description": "SMTP Config",
-                        },
-                        "credentials": {
-                            "type": "object",
-                            "description": "SMTP credentials",
-                        },
-                    },
-                    "required": ["to_email", "subject", "body", "credentials"],
-                },
-                "output_schema": {
-                    "properties": {
-                        "status": {
-                            "type": "string",
-                            "description": "Status of the email sending operation",
-                        },
-                        "error": {
-                            "type": "string",
-                            "description": "Error message if sending failed",
-                        },
-                    },
-                },
-                "credentials_fields": {"credentials": True},
-            },
-            {
-                "id": "claude-code-block-id",
-                "name": "Claude Code",
-                "input_schema": {
-                    "properties": {
-                        "e2b_credentials": {
-                            "type": "object",
-                            "description": "API key for E2B platform",
-                        },
-                        "anthropic_credentials": {
-                            "type": "object",
-                            "description": "API key for Anthropic",
-                        },
-                        "prompt": {
-                            "type": "string",
-                            "description": "Task or instruction for Claude Code",
-                        },
-                        "timeout": {
-                            "type": "integer",
-                            "description": "Sandbox timeout in seconds",
-                        },
-                        "setup_commands": {
-                            "type": "array",
-                            "description": "Shell commands to run before execution",
-                        },
-                        "working_directory": {
-                            "type": "string",
-                            "description": "Working directory for Claude Code",
-                        },
-                        "session_id": {
-                            "type": "string",
-                            "description": "Session ID to resume a conversation",
-                        },
-                        "sandbox_id": {
-                            "type": "string",
-                            "description": "Sandbox ID to reconnect to",
-                        },
-                        "conversation_history": {
-                            "type": "string",
-                            "description": "Previous conversation history",
-                        },
-                        "dispose_sandbox": {
-                            "type": "boolean",
-                            "description": "Whether to dispose sandbox after execution",
-                        },
-                    },
-                    "required": [
-                        "e2b_credentials",
-                        "anthropic_credentials",
-                        "prompt",
-                    ],
-                },
-                "output_schema": {
-                    "properties": {
-                        "response": {
-                            "type": "string",
-                            "description": "Output from Claude Code execution",
-                        },
-                        "files": {
-                            "type": "array",
-                            "description": "Files created/modified by Claude Code",
-                        },
-                        "conversation_history": {
-                            "type": "string",
-                            "description": "Full conversation history",
-                        },
-                        "session_id": {
-                            "type": "string",
-                            "description": "Session ID for this conversation",
-                        },
-                        "sandbox_id": {
-                            "type": "string",
-                            "description": "ID of the sandbox instance",
-                        },
-                        "error": {
-                            "type": "string",
-                            "description": "Error message if execution failed",
-                        },
-                    },
-                },
-                "credentials_fields": {
-                    "e2b_credentials": True,
-                    "anthropic_credentials": True,
-                },
-            },
-        ]
-
-        search_results = [
-            {"content_id": d["id"], "score": 0.9 - i * 0.1}
-            for i, d in enumerate(block_defs)
-        ]
-        mock_blocks = {
-            d["id"]: make_mock_block(
-                block_id=d["id"],
-                name=d["name"],
-                block_type=BlockType.STANDARD,
-                input_schema=d["input_schema"],
-                output_schema=d["output_schema"],
-                credentials_fields=d["credentials_fields"],
-            )
-            for d in block_defs
-        }
-
-        with patch(
-            "backend.api.features.chat.tools.find_block.unified_hybrid_search",
-            new_callable=AsyncMock,
-            return_value=(search_results, len(search_results)),
-        ), patch(
-            "backend.api.features.chat.tools.find_block.get_block",
-            side_effect=lambda bid: mock_blocks.get(bid),
-        ):
-            tool = FindBlockTool()
-            response = await tool._execute(
-                user_id=_TEST_USER_ID, session=session, query="test"
-            )
-
-        assert isinstance(response, BlockListResponse)
-        assert response.count == len(block_defs)
-
-        total_chars = len(response.model_dump_json())
-        avg_chars = total_chars // response.count
-
-        # Print for visibility in test output
-        print(f"\nTotal response size: {total_chars} chars")
-        print(f"Number of blocks: {response.count}")
-        print(f"Average chars per block: {avg_chars}")
-
-        # The old response was ~90K for 10 blocks (~9K per block).
-        # Previous optimization reduced it to ~1.5K per block (no raw JSON schemas).
-        # Now with only id/name/description, we expect ~300 chars per block.
-        assert avg_chars < 500, (
-            f"Average chars per block ({avg_chars}) exceeds 500. "
-            f"Total response: {total_chars} chars for {response.count} blocks."
-        )

autogpt_platform/backend/backend/api/features/chat/tools/models.py

@@ -25,7 +25,6 @@ class ResponseType(str, Enum):
     AGENT_SAVED = "agent_saved"
     CLARIFICATION_NEEDED = "clarification_needed"
     BLOCK_LIST = "block_list"
-    BLOCK_DETAILS = "block_details"
     BLOCK_OUTPUT = "block_output"
     DOC_SEARCH_RESULTS = "doc_search_results"
     DOC_PAGE = "doc_page"
@@ -335,6 +334,13 @@ class BlockInfoSummary(BaseModel):
     id: str
     name: str
     description: str
+    categories: list[str]
+    input_schema: dict[str, Any]
+    output_schema: dict[str, Any]
+    required_inputs: list[BlockInputFieldInfo] = Field(
+        default_factory=list,
+        description="List of required input fields for this block",
+    )
 
 
 class BlockListResponse(ToolResponseBase):
@@ -344,25 +350,10 @@ class BlockListResponse(ToolResponseBase):
     blocks: list[BlockInfoSummary]
     count: int
     query: str
-
-
-class BlockDetails(BaseModel):
-    """Detailed block information."""
-
-    id: str
-    name: str
-    description: str
-    inputs: dict[str, Any] = {}
-    outputs: dict[str, Any] = {}
-    credentials: list[CredentialsMetaInput] = []
-
-
-class BlockDetailsResponse(ToolResponseBase):
-    """Response for block details (first run_block attempt)."""
-
-    type: ResponseType = ResponseType.BLOCK_DETAILS
-    block: BlockDetails
-    user_authenticated: bool = False
+    usage_hint: str = Field(
+        default="To execute a block, call run_block with block_id set to the block's "
+        "'id' field and input_data containing the required fields from input_schema."
+    )
 
 
 class BlockOutputResponse(ToolResponseBase):

autogpt_platform/backend/backend/api/features/chat/tools/run_block.py

@@ -23,11 +23,8 @@ from backend.util.exceptions import BlockError
 from .base import BaseTool
 from .helpers import get_inputs_from_schema
 from .models import (
-    BlockDetails,
-    BlockDetailsResponse,
     BlockOutputResponse,
     ErrorResponse,
-    InputValidationErrorResponse,
     SetupInfo,
     SetupRequirementsResponse,
     ToolResponseBase,
@@ -54,8 +51,8 @@ class RunBlockTool(BaseTool):
             "Execute a specific block with the provided input data. "
             "IMPORTANT: You MUST call find_block first to get the block's 'id' - "
             "do NOT guess or make up block IDs. "
-            "On first attempt (without input_data), returns detailed schema showing "
-            "required inputs and outputs. Then call again with proper input_data to execute."
+            "Use the 'id' from find_block results and provide input_data "
+            "matching the block's required_inputs."
         )
 
     @property
@@ -70,19 +67,11 @@ class RunBlockTool(BaseTool):
                         "NEVER guess this - always get it from find_block first."
                     ),
                 },
-                "block_name": {
-                    "type": "string",
-                    "description": (
-                        "The block's human-readable name from find_block results. "
-                        "Used for display purposes in the UI."
-                    ),
-                },
                 "input_data": {
                     "type": "object",
                     "description": (
-                        "Input values for the block. "
-                        "First call with empty {} to see the block's schema, "
-                        "then call again with proper values to execute."
+                        "Input values for the block. Use the 'required_inputs' field "
+                        "from find_block to see what fields are needed."
                     ),
                 },
             },
@@ -167,34 +156,6 @@ class RunBlockTool(BaseTool):
             await self._resolve_block_credentials(user_id, block, input_data)
         )
 
-        # Get block schemas for details/validation
-        try:
-            input_schema: dict[str, Any] = block.input_schema.jsonschema()
-        except Exception as e:
-            logger.warning(
-                "Failed to generate input schema for block %s: %s",
-                block_id,
-                e,
-            )
-            return ErrorResponse(
-                message=f"Block '{block.name}' has an invalid input schema",
-                error=str(e),
-                session_id=session_id,
-            )
-        try:
-            output_schema: dict[str, Any] = block.output_schema.jsonschema()
-        except Exception as e:
-            logger.warning(
-                "Failed to generate output schema for block %s: %s",
-                block_id,
-                e,
-            )
-            return ErrorResponse(
-                message=f"Block '{block.name}' has an invalid output schema",
-                error=str(e),
-                session_id=session_id,
-            )
-
         if missing_credentials:
             # Return setup requirements response with missing credentials
             credentials_fields_info = block.input_schema.get_credentials_fields_info()
@@ -227,53 +188,6 @@ class RunBlockTool(BaseTool):
                 graph_version=None,
             )
 
-        # Check if this is a first attempt (required inputs missing)
-        # Return block details so user can see what inputs are needed
-        credentials_fields = set(block.input_schema.get_credentials_fields().keys())
-        required_keys = set(input_schema.get("required", []))
-        required_non_credential_keys = required_keys - credentials_fields
-        provided_input_keys = set(input_data.keys()) - credentials_fields
-
-        # Check for unknown input fields
-        valid_fields = (
-            set(input_schema.get("properties", {}).keys()) - credentials_fields
-        )
-        unrecognized_fields = provided_input_keys - valid_fields
-        if unrecognized_fields:
-            return InputValidationErrorResponse(
-                message=(
-                    f"Unknown input field(s) provided: {', '.join(sorted(unrecognized_fields))}. "
-                    f"Block was not executed. Please use the correct field names from the schema."
-                ),
-                session_id=session_id,
-                unrecognized_fields=sorted(unrecognized_fields),
-                inputs=input_schema,
-            )
-
-        # Show details when not all required non-credential inputs are provided
-        if not (required_non_credential_keys <= provided_input_keys):
-            # Get credentials info for the response
-            credentials_meta = []
-            for field_name, cred_meta in matched_credentials.items():
-                credentials_meta.append(cred_meta)
-
-            return BlockDetailsResponse(
-                message=(
-                    f"Block '{block.name}' details. "
-                    "Provide input_data matching the inputs schema to execute the block."
-                ),
-                session_id=session_id,
-                block=BlockDetails(
-                    id=block_id,
-                    name=block.name,
-                    description=block.description or "",
-                    inputs=input_schema,
-                    outputs=output_schema,
-                    credentials=credentials_meta,
-                ),
-                user_authenticated=True,
-            )
-
         try:
             # Get or create user's workspace for CoPilot file operations
             workspace = await get_or_create_workspace(user_id)

autogpt_platform/backend/backend/api/features/chat/tools/run_block_test.py

@@ -1,15 +1,10 @@
-"""Tests for block execution guards and input validation in RunBlockTool."""
+"""Tests for block execution guards in RunBlockTool."""
 
-from unittest.mock import AsyncMock, MagicMock, patch
+from unittest.mock import MagicMock, patch
 
 import pytest
 
-from backend.api.features.chat.tools.models import (
-    BlockDetailsResponse,
-    BlockOutputResponse,
-    ErrorResponse,
-    InputValidationErrorResponse,
-)
+from backend.api.features.chat.tools.models import ErrorResponse
 from backend.api.features.chat.tools.run_block import RunBlockTool
 from backend.blocks._base import BlockType
 
@@ -33,39 +28,6 @@ def make_mock_block(
     return mock
 
 
-def make_mock_block_with_schema(
-    block_id: str,
-    name: str,
-    input_properties: dict,
-    required_fields: list[str],
-    output_properties: dict | None = None,
-):
-    """Create a mock block with a defined input/output schema for validation tests."""
-    mock = MagicMock()
-    mock.id = block_id
-    mock.name = name
-    mock.block_type = BlockType.STANDARD
-    mock.disabled = False
-    mock.description = f"Test block: {name}"
-
-    input_schema = {
-        "properties": input_properties,
-        "required": required_fields,
-    }
-    mock.input_schema = MagicMock()
-    mock.input_schema.jsonschema.return_value = input_schema
-    mock.input_schema.get_credentials_fields_info.return_value = {}
-    mock.input_schema.get_credentials_fields.return_value = {}
-
-    output_schema = {
-        "properties": output_properties or {"result": {"type": "string"}},
-    }
-    mock.output_schema = MagicMock()
-    mock.output_schema.jsonschema.return_value = output_schema
-
-    return mock
-
-
 class TestRunBlockFiltering:
     """Tests for block execution guards in RunBlockTool."""
 
@@ -142,221 +104,3 @@ class TestRunBlockFiltering:
         # (may be other errors like missing credentials, but not the exclusion guard)
         if isinstance(response, ErrorResponse):
             assert "cannot be run directly in CoPilot" not in response.message
-
-
-class TestRunBlockInputValidation:
-    """Tests for input field validation in RunBlockTool.
-
-    run_block rejects unknown input field names with InputValidationErrorResponse,
-    preventing silent failures where incorrect keys would be ignored and the block
-    would execute with default values instead of the caller's intended values.
-    """
-
-    @pytest.mark.asyncio(loop_scope="session")
-    async def test_unknown_input_fields_are_rejected(self):
-        """run_block rejects unknown input fields instead of silently ignoring them.
-
-        Scenario: The AI Text Generator block has a field called 'model' (for LLM model
-        selection), but the LLM calling the tool guesses wrong and sends 'LLM_Model'
-        instead. The block should reject the request and return the valid schema.
-        """
-        session = make_session(user_id=_TEST_USER_ID)
-
-        mock_block = make_mock_block_with_schema(
-            block_id="ai-text-gen-id",
-            name="AI Text Generator",
-            input_properties={
-                "prompt": {"type": "string", "description": "The prompt to send"},
-                "model": {
-                    "type": "string",
-                    "description": "The LLM model to use",
-                    "default": "gpt-4o-mini",
-                },
-                "sys_prompt": {
-                    "type": "string",
-                    "description": "System prompt",
-                    "default": "",
-                },
-            },
-            required_fields=["prompt"],
-            output_properties={"response": {"type": "string"}},
-        )
-
-        with patch(
-            "backend.api.features.chat.tools.run_block.get_block",
-            return_value=mock_block,
-        ):
-            tool = RunBlockTool()
-
-            # Provide 'prompt' (correct) but 'LLM_Model' instead of 'model' (wrong key)
-            response = await tool._execute(
-                user_id=_TEST_USER_ID,
-                session=session,
-                block_id="ai-text-gen-id",
-                input_data={
-                    "prompt": "Write a haiku about coding",
-                    "LLM_Model": "claude-opus-4-6",  # WRONG KEY - should be 'model'
-                },
-            )
-
-        assert isinstance(response, InputValidationErrorResponse)
-        assert "LLM_Model" in response.unrecognized_fields
-        assert "Block was not executed" in response.message
-        assert "inputs" in response.model_dump()  # valid schema included
-
-    @pytest.mark.asyncio(loop_scope="session")
-    async def test_multiple_wrong_keys_are_all_reported(self):
-        """All unrecognized field names are reported in a single error response."""
-        session = make_session(user_id=_TEST_USER_ID)
-
-        mock_block = make_mock_block_with_schema(
-            block_id="ai-text-gen-id",
-            name="AI Text Generator",
-            input_properties={
-                "prompt": {"type": "string"},
-                "model": {"type": "string", "default": "gpt-4o-mini"},
-                "sys_prompt": {"type": "string", "default": ""},
-                "retry": {"type": "integer", "default": 3},
-            },
-            required_fields=["prompt"],
-        )
-
-        with patch(
-            "backend.api.features.chat.tools.run_block.get_block",
-            return_value=mock_block,
-        ):
-            tool = RunBlockTool()
-
-            response = await tool._execute(
-                user_id=_TEST_USER_ID,
-                session=session,
-                block_id="ai-text-gen-id",
-                input_data={
-                    "prompt": "Hello",  # correct
-                    "llm_model": "claude-opus-4-6",  # WRONG - should be 'model'
-                    "system_prompt": "Be helpful",  # WRONG - should be 'sys_prompt'
-                    "retries": 5,  # WRONG - should be 'retry'
-                },
-            )
-
-        assert isinstance(response, InputValidationErrorResponse)
-        assert set(response.unrecognized_fields) == {
-            "llm_model",
-            "system_prompt",
-            "retries",
-        }
-        assert "Block was not executed" in response.message
-
-    @pytest.mark.asyncio(loop_scope="session")
-    async def test_unknown_fields_rejected_even_with_missing_required(self):
-        """Unknown fields are caught before the missing-required-fields check."""
-        session = make_session(user_id=_TEST_USER_ID)
-
-        mock_block = make_mock_block_with_schema(
-            block_id="ai-text-gen-id",
-            name="AI Text Generator",
-            input_properties={
-                "prompt": {"type": "string"},
-                "model": {"type": "string", "default": "gpt-4o-mini"},
-            },
-            required_fields=["prompt"],
-        )
-
-        with patch(
-            "backend.api.features.chat.tools.run_block.get_block",
-            return_value=mock_block,
-        ):
-            tool = RunBlockTool()
-
-            # 'prompt' is missing AND 'LLM_Model' is an unknown field
-            response = await tool._execute(
-                user_id=_TEST_USER_ID,
-                session=session,
-                block_id="ai-text-gen-id",
-                input_data={
-                    "LLM_Model": "claude-opus-4-6",  # wrong key, and 'prompt' is missing
-                },
-            )
-
-        # Unknown fields are caught first
-        assert isinstance(response, InputValidationErrorResponse)
-        assert "LLM_Model" in response.unrecognized_fields
-
-    @pytest.mark.asyncio(loop_scope="session")
-    async def test_correct_inputs_still_execute(self):
-        """Correct input field names pass validation and the block executes."""
-        session = make_session(user_id=_TEST_USER_ID)
-
-        mock_block = make_mock_block_with_schema(
-            block_id="ai-text-gen-id",
-            name="AI Text Generator",
-            input_properties={
-                "prompt": {"type": "string"},
-                "model": {"type": "string", "default": "gpt-4o-mini"},
-            },
-            required_fields=["prompt"],
-        )
-
-        async def mock_execute(input_data, **kwargs):
-            yield "response", "Generated text"
-
-        mock_block.execute = mock_execute
-
-        with (
-            patch(
-                "backend.api.features.chat.tools.run_block.get_block",
-                return_value=mock_block,
-            ),
-            patch(
-                "backend.api.features.chat.tools.run_block.get_or_create_workspace",
-                new_callable=AsyncMock,
-                return_value=MagicMock(id="test-workspace-id"),
-            ),
-        ):
-            tool = RunBlockTool()
-
-            response = await tool._execute(
-                user_id=_TEST_USER_ID,
-                session=session,
-                block_id="ai-text-gen-id",
-                input_data={
-                    "prompt": "Write a haiku",
-                    "model": "gpt-4o-mini",  # correct field name
-                },
-            )
-
-        assert isinstance(response, BlockOutputResponse)
-        assert response.success is True
-
-    @pytest.mark.asyncio(loop_scope="session")
-    async def test_missing_required_fields_returns_details(self):
-        """Missing required fields returns BlockDetailsResponse with schema."""
-        session = make_session(user_id=_TEST_USER_ID)
-
-        mock_block = make_mock_block_with_schema(
-            block_id="ai-text-gen-id",
-            name="AI Text Generator",
-            input_properties={
-                "prompt": {"type": "string"},
-                "model": {"type": "string", "default": "gpt-4o-mini"},
-            },
-            required_fields=["prompt"],
-        )
-
-        with patch(
-            "backend.api.features.chat.tools.run_block.get_block",
-            return_value=mock_block,
-        ):
-            tool = RunBlockTool()
-
-            # Only provide valid optional field, missing required 'prompt'
-            response = await tool._execute(
-                user_id=_TEST_USER_ID,
-                session=session,
-                block_id="ai-text-gen-id",
-                input_data={
-                    "model": "gpt-4o-mini",  # valid but optional
-                },
-            )
-
-        assert isinstance(response, BlockDetailsResponse)

autogpt_platform/backend/backend/api/features/chat/tools/test_run_block_details.py

@@ -1,153 +0,0 @@
-"""Tests for BlockDetailsResponse in RunBlockTool."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-from backend.api.features.chat.tools.models import BlockDetailsResponse
-from backend.api.features.chat.tools.run_block import RunBlockTool
-from backend.blocks._base import BlockType
-from backend.data.model import CredentialsMetaInput
-from backend.integrations.providers import ProviderName
-
-from ._test_data import make_session
-
-_TEST_USER_ID = "test-user-run-block-details"
-
-
-def make_mock_block_with_inputs(
-    block_id: str, name: str, description: str = "Test description"
-):
-    """Create a mock block with input/output schemas for testing."""
-    mock = MagicMock()
-    mock.id = block_id
-    mock.name = name
-    mock.description = description
-    mock.block_type = BlockType.STANDARD
-    mock.disabled = False
-
-    # Input schema with non-credential fields
-    mock.input_schema = MagicMock()
-    mock.input_schema.jsonschema.return_value = {
-        "properties": {
-            "url": {"type": "string", "description": "URL to fetch"},
-            "method": {"type": "string", "description": "HTTP method"},
-        },
-        "required": ["url"],
-    }
-    mock.input_schema.get_credentials_fields.return_value = {}
-    mock.input_schema.get_credentials_fields_info.return_value = {}
-
-    # Output schema
-    mock.output_schema = MagicMock()
-    mock.output_schema.jsonschema.return_value = {
-        "properties": {
-            "response": {"type": "object", "description": "HTTP response"},
-            "error": {"type": "string", "description": "Error message"},
-        }
-    }
-
-    return mock
-
-
-@pytest.mark.asyncio(loop_scope="session")
-async def test_run_block_returns_details_when_no_input_provided():
-    """When run_block is called without input_data, it should return BlockDetailsResponse."""
-    session = make_session(user_id=_TEST_USER_ID)
-
-    # Create a block with inputs
-    http_block = make_mock_block_with_inputs(
-        "http-block-id", "HTTP Request", "Send HTTP requests"
-    )
-
-    with patch(
-        "backend.api.features.chat.tools.run_block.get_block",
-        return_value=http_block,
-    ):
-        # Mock credentials check to return no missing credentials
-        with patch.object(
-            RunBlockTool,
-            "_resolve_block_credentials",
-            new_callable=AsyncMock,
-            return_value=({}, []),  # (matched_credentials, missing_credentials)
-        ):
-            tool = RunBlockTool()
-            response = await tool._execute(
-                user_id=_TEST_USER_ID,
-                session=session,
-                block_id="http-block-id",
-                input_data={},  # Empty input data
-            )
-
-    # Should return BlockDetailsResponse showing the schema
-    assert isinstance(response, BlockDetailsResponse)
-    assert response.block.id == "http-block-id"
-    assert response.block.name == "HTTP Request"
-    assert response.block.description == "Send HTTP requests"
-    assert "url" in response.block.inputs["properties"]
-    assert "method" in response.block.inputs["properties"]
-    assert "response" in response.block.outputs["properties"]
-    assert response.user_authenticated is True
-
-
-@pytest.mark.asyncio(loop_scope="session")
-async def test_run_block_returns_details_when_only_credentials_provided():
-    """When only credentials are provided (no actual input), should return details."""
-    session = make_session(user_id=_TEST_USER_ID)
-
-    # Create a block with both credential and non-credential inputs
-    mock = MagicMock()
-    mock.id = "api-block-id"
-    mock.name = "API Call"
-    mock.description = "Make API calls"
-    mock.block_type = BlockType.STANDARD
-    mock.disabled = False
-
-    mock.input_schema = MagicMock()
-    mock.input_schema.jsonschema.return_value = {
-        "properties": {
-            "credentials": {"type": "object", "description": "API credentials"},
-            "endpoint": {"type": "string", "description": "API endpoint"},
-        },
-        "required": ["credentials", "endpoint"],
-    }
-    mock.input_schema.get_credentials_fields.return_value = {"credentials": True}
-    mock.input_schema.get_credentials_fields_info.return_value = {}
-
-    mock.output_schema = MagicMock()
-    mock.output_schema.jsonschema.return_value = {
-        "properties": {"result": {"type": "object"}}
-    }
-
-    with patch(
-        "backend.api.features.chat.tools.run_block.get_block",
-        return_value=mock,
-    ):
-        with patch.object(
-            RunBlockTool,
-            "_resolve_block_credentials",
-            new_callable=AsyncMock,
-            return_value=(
-                {
-                    "credentials": CredentialsMetaInput(
-                        id="cred-id",
-                        provider=ProviderName("test_provider"),
-                        type="api_key",
-                        title="Test Credential",
-                    )
-                },
-                [],
-            ),
-        ):
-            tool = RunBlockTool()
-            response = await tool._execute(
-                user_id=_TEST_USER_ID,
-                session=session,
-                block_id="api-block-id",
-                input_data={"credentials": {"some": "cred"}},  # Only credential
-            )
-
-    # Should return details because no non-credential inputs provided
-    assert isinstance(response, BlockDetailsResponse)
-    assert response.block.id == "api-block-id"
-    assert response.block.name == "API Call"

autogpt_platform/backend/backend/blocks/llm.py

@@ -32,6 +32,14 @@ from backend.data.model import (
 from backend.integrations.providers import ProviderName
 from backend.util import json
 from backend.util.logging import TruncatedLogger
+from backend.util.openai_responses import (
+    convert_tools_to_responses_format,
+    extract_responses_content,
+    extract_responses_reasoning,
+    extract_responses_tool_calls,
+    extract_usage,
+    requires_responses_api,
+)
 from backend.util.prompt import compress_context, estimate_token_count
 from backend.util.text import TextFormatter
 
@@ -659,38 +667,72 @@ async def llm_call(
     max_tokens = max(min(available_tokens, model_max_output, user_max), 1)
 
     if provider == "openai":
-        tools_param = tools if tools else openai.NOT_GIVEN
         oai_client = openai.AsyncOpenAI(api_key=credentials.api_key.get_secret_value())
-        response_format = None
 
-        parallel_tool_calls = get_parallel_tool_calls_param(
-            llm_model, parallel_tool_calls
-        )
+        # Check if this model requires the Responses API (reasoning models: o1, o3, etc.)
+        if requires_responses_api(llm_model.value):
+            # Use responses.create for reasoning models
+            tools_converted = (
+                convert_tools_to_responses_format(tools) if tools else None
+            )
 
-        if force_json_output:
-            response_format = {"type": "json_object"}
+            response = await oai_client.responses.create(
+                model=llm_model.value,
+                input=prompt,  # type: ignore
+                tools=tools_converted,  # type: ignore
+                max_output_tokens=max_tokens,
+                store=False,  # Don't persist conversations
+            )
 
-        response = await oai_client.chat.completions.create(
-            model=llm_model.value,
-            messages=prompt,  # type: ignore
-            response_format=response_format,  # type: ignore
-            max_completion_tokens=max_tokens,
-            tools=tools_param,  # type: ignore
-            parallel_tool_calls=parallel_tool_calls,
-        )
+            tool_calls = extract_responses_tool_calls(response)
+            reasoning = extract_responses_reasoning(response)
+            content = extract_responses_content(response)
+            prompt_tokens, completion_tokens = extract_usage(response, True)
 
-        tool_calls = extract_openai_tool_calls(response)
-        reasoning = extract_openai_reasoning(response)
+            return LLMResponse(
+                raw_response=response,
+                prompt=prompt,
+                response=content,
+                tool_calls=tool_calls,
+                prompt_tokens=prompt_tokens,
+                completion_tokens=completion_tokens,
+                reasoning=reasoning,
+            )
+        else:
+            # Use chat.completions.create for standard models
+            tools_param = tools if tools else openai.NOT_GIVEN
+            response_format = None
 
-        return LLMResponse(
-            raw_response=response.choices[0].message,
-            prompt=prompt,
-            response=response.choices[0].message.content or "",
-            tool_calls=tool_calls,
-            prompt_tokens=response.usage.prompt_tokens if response.usage else 0,
-            completion_tokens=response.usage.completion_tokens if response.usage else 0,
-            reasoning=reasoning,
-        )
+            parallel_tool_calls = get_parallel_tool_calls_param(
+                llm_model, parallel_tool_calls
+            )
+
+            if force_json_output:
+                response_format = {"type": "json_object"}
+
+            response = await oai_client.chat.completions.create(
+                model=llm_model.value,
+                messages=prompt,  # type: ignore
+                response_format=response_format,  # type: ignore
+                max_completion_tokens=max_tokens,
+                tools=tools_param,  # type: ignore
+                parallel_tool_calls=parallel_tool_calls,
+            )
+
+            tool_calls = extract_openai_tool_calls(response)
+            reasoning = extract_openai_reasoning(response)
+
+            return LLMResponse(
+                raw_response=response.choices[0].message,
+                prompt=prompt,
+                response=response.choices[0].message.content or "",
+                tool_calls=tool_calls,
+                prompt_tokens=response.usage.prompt_tokens if response.usage else 0,
+                completion_tokens=(
+                    response.usage.completion_tokens if response.usage else 0
+                ),
+                reasoning=reasoning,
+            )
     elif provider == "anthropic":
 
         an_tools = convert_openai_tool_fmt_to_anthropic(tools)

autogpt_platform/backend/backend/util/openai_responses.py

@@ -0,0 +1,185 @@
+"""Helpers for OpenAI Responses API migration.
+
+This module provides utilities for conditionally using OpenAI's Responses API
+instead of Chat Completions for reasoning models (o1, o3, etc.) that require it.
+"""
+
+from typing import Any
+
+# Exact model identifiers that require the Responses API.
+# Use exact matching to avoid false positives on future models.
+# NOTE: Update this set when OpenAI releases new reasoning models.
+REASONING_MODELS = frozenset(
+    {
+        # O1 family
+        "o1",
+        "o1-mini",
+        "o1-preview",
+        "o1-2024-12-17",
+        # O3 family
+        "o3",
+        "o3-mini",
+        "o3-2025-04-16",
+        "o3-mini-2025-01-31",
+    }
+)
+
+
+def requires_responses_api(model: str) -> bool:
+    """Check if model requires the Responses API (exact match).
+
+    Args:
+        model: The model identifier string (e.g., "o3-mini", "gpt-4o")
+
+    Returns:
+        True if the model requires responses.create, False otherwise
+    """
+    return model in REASONING_MODELS
+
+
+def convert_tools_to_responses_format(tools: list[dict] | None) -> list[dict]:
+    """Convert Chat Completions tool format to Responses API format.
+
+    The Responses API uses internally-tagged polymorphism (flatter structure)
+    and functions are strict by default.
+
+    Chat Completions format:
+        {"type": "function", "function": {"name": "...", "parameters": {...}}}
+
+    Responses API format:
+        {"type": "function", "name": "...", "parameters": {...}}
+
+    Args:
+        tools: List of tools in Chat Completions format
+
+    Returns:
+        List of tools in Responses API format
+    """
+    if not tools:
+        return []
+
+    converted = []
+    for tool in tools:
+        if tool.get("type") == "function":
+            func = tool.get("function", {})
+            converted.append(
+                {
+                    "type": "function",
+                    "name": func.get("name"),
+                    "description": func.get("description"),
+                    "parameters": func.get("parameters"),
+                    # Note: strict=True is default in Responses API
+                }
+            )
+        else:
+            # Pass through non-function tools as-is
+            converted.append(tool)
+    return converted
+
+
+def extract_responses_tool_calls(response: Any) -> list[dict] | None:
+    """Extract tool calls from Responses API response.
+
+    The Responses API returns tool calls as separate items in the output array
+    with type="function_call".
+
+    Args:
+        response: The Responses API response object
+
+    Returns:
+        List of tool calls in a normalized format, or None if no tool calls
+    """
+    tool_calls = []
+    for item in response.output:
+        if getattr(item, "type", None) == "function_call":
+            tool_calls.append(
+                {
+                    "id": item.call_id,
+                    "type": "function",
+                    "function": {
+                        "name": item.name,
+                        "arguments": item.arguments,
+                    },
+                }
+            )
+    return tool_calls if tool_calls else None
+
+
+def extract_usage(response: Any, is_responses_api: bool) -> tuple[int, int]:
+    """Extract token usage from either API response.
+
+    The Responses API uses different field names for token counts:
+    - Chat Completions: prompt_tokens, completion_tokens
+    - Responses API: input_tokens, output_tokens
+
+    Args:
+        response: The API response object
+        is_responses_api: True if response is from Responses API
+
+    Returns:
+        Tuple of (prompt_tokens, completion_tokens)
+    """
+    if not response.usage:
+        return 0, 0
+
+    if is_responses_api:
+        # Responses API uses different field names
+        return (
+            getattr(response.usage, "input_tokens", 0),
+            getattr(response.usage, "output_tokens", 0),
+        )
+    else:
+        # Chat Completions API
+        return (
+            getattr(response.usage, "prompt_tokens", 0),
+            getattr(response.usage, "completion_tokens", 0),
+        )
+
+
+def extract_responses_content(response: Any) -> str:
+    """Extract text content from Responses API response.
+
+    Args:
+        response: The Responses API response object
+
+    Returns:
+        The text content from the response, or empty string if none
+    """
+    # The SDK provides a helper property
+    if hasattr(response, "output_text"):
+        return response.output_text or ""
+
+    # Fallback: manually extract from output items
+    for item in response.output:
+        if getattr(item, "type", None) == "message":
+            for content in getattr(item, "content", []):
+                if getattr(content, "type", None) == "output_text":
+                    return getattr(content, "text", "")
+    return ""
+
+
+def extract_responses_reasoning(response: Any) -> str | None:
+    """Extract reasoning content from Responses API response.
+
+    Reasoning models return their reasoning process in the response,
+    which can be useful for debugging or display.
+
+    Args:
+        response: The Responses API response object
+
+    Returns:
+        The reasoning text, or None if not present
+    """
+    for item in response.output:
+        if getattr(item, "type", None) == "reasoning":
+            # Reasoning items may have summary or content
+            summary = getattr(item, "summary", [])
+            if summary:
+                # Join summary items if present
+                texts = []
+                for s in summary:
+                    if hasattr(s, "text"):
+                        texts.append(s.text)
+                if texts:
+                    return "\n".join(texts)
+    return None

autogpt_platform/backend/backend/util/openai_responses_test.py

@@ -0,0 +1,155 @@
+"""Tests for OpenAI Responses API helpers."""
+
+import pytest
+
+from backend.util.openai_responses import (
+    REASONING_MODELS,
+    convert_tools_to_responses_format,
+    requires_responses_api,
+)
+
+
+class TestRequiresResponsesApi:
+    """Tests for the requires_responses_api function."""
+
+    def test_o1_models_require_responses_api(self):
+        """O1 family models should require the Responses API."""
+        assert requires_responses_api("o1") is True
+        assert requires_responses_api("o1-mini") is True
+        assert requires_responses_api("o1-preview") is True
+        assert requires_responses_api("o1-2024-12-17") is True
+
+    def test_o3_models_require_responses_api(self):
+        """O3 family models should require the Responses API."""
+        assert requires_responses_api("o3") is True
+        assert requires_responses_api("o3-mini") is True
+        assert requires_responses_api("o3-2025-04-16") is True
+        assert requires_responses_api("o3-mini-2025-01-31") is True
+
+    def test_gpt_models_do_not_require_responses_api(self):
+        """GPT models should NOT require the Responses API."""
+        assert requires_responses_api("gpt-4o") is False
+        assert requires_responses_api("gpt-4o-mini") is False
+        assert requires_responses_api("gpt-4-turbo") is False
+        assert requires_responses_api("gpt-3.5-turbo") is False
+        assert requires_responses_api("gpt-5") is False
+        assert requires_responses_api("gpt-5-mini") is False
+
+    def test_other_models_do_not_require_responses_api(self):
+        """Other provider models should NOT require the Responses API."""
+        assert requires_responses_api("claude-3-opus") is False
+        assert requires_responses_api("llama-3.3-70b") is False
+        assert requires_responses_api("gemini-pro") is False
+
+    def test_empty_string_does_not_require_responses_api(self):
+        """Empty string should not require the Responses API."""
+        assert requires_responses_api("") is False
+
+    def test_exact_matching_no_false_positives(self):
+        """Should not match models that just start with 'o1' or 'o3'."""
+        # These are hypothetical models that start with o1/o3 but aren't
+        # actually reasoning models
+        assert requires_responses_api("o1-turbo-hypothetical") is False
+        assert requires_responses_api("o3-fast-hypothetical") is False
+        assert requires_responses_api("o100") is False
+
+
+class TestConvertToolsToResponsesFormat:
+    """Tests for the convert_tools_to_responses_format function."""
+
+    def test_empty_tools_returns_empty_list(self):
+        """Empty or None tools should return empty list."""
+        assert convert_tools_to_responses_format(None) == []
+        assert convert_tools_to_responses_format([]) == []
+
+    def test_converts_function_tool_format(self):
+        """Should convert Chat Completions function format to Responses format."""
+        chat_completions_tools = [
+            {
+                "type": "function",
+                "function": {
+                    "name": "get_weather",
+                    "description": "Get the weather in a location",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "location": {"type": "string"},
+                        },
+                        "required": ["location"],
+                    },
+                },
+            }
+        ]
+
+        result = convert_tools_to_responses_format(chat_completions_tools)
+
+        assert len(result) == 1
+        assert result[0]["type"] == "function"
+        assert result[0]["name"] == "get_weather"
+        assert result[0]["description"] == "Get the weather in a location"
+        assert result[0]["parameters"] == {
+            "type": "object",
+            "properties": {
+                "location": {"type": "string"},
+            },
+            "required": ["location"],
+        }
+        # Should not have nested "function" key
+        assert "function" not in result[0]
+
+    def test_handles_multiple_tools(self):
+        """Should handle multiple tools."""
+        chat_completions_tools = [
+            {
+                "type": "function",
+                "function": {
+                    "name": "tool_1",
+                    "description": "First tool",
+                    "parameters": {"type": "object", "properties": {}},
+                },
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "tool_2",
+                    "description": "Second tool",
+                    "parameters": {"type": "object", "properties": {}},
+                },
+            },
+        ]
+
+        result = convert_tools_to_responses_format(chat_completions_tools)
+
+        assert len(result) == 2
+        assert result[0]["name"] == "tool_1"
+        assert result[1]["name"] == "tool_2"
+
+    def test_passes_through_non_function_tools(self):
+        """Non-function tools should be passed through as-is."""
+        tools = [{"type": "web_search", "config": {"enabled": True}}]
+
+        result = convert_tools_to_responses_format(tools)
+
+        assert result == tools
+
+
+class TestReasoningModelsSet:
+    """Tests for the REASONING_MODELS constant."""
+
+    def test_reasoning_models_is_frozenset(self):
+        """REASONING_MODELS should be a frozenset (immutable)."""
+        assert isinstance(REASONING_MODELS, frozenset)
+
+    def test_contains_expected_models(self):
+        """Should contain all expected reasoning models."""
+        expected = {
+            "o1",
+            "o1-mini",
+            "o1-preview",
+            "o1-2024-12-17",
+            "o3",
+            "o3-mini",
+            "o3-2025-04-16",
+            "o3-mini-2025-01-31",
+        }
+        assert expected.issubset(REASONING_MODELS)

autogpt_platform/backend/poetry.lock

@@ -441,14 +441,14 @@ develop = true
 colorama = "^0.4.6"
 cryptography = "^46.0"
 expiringdict = "^1.2.2"
-fastapi = "^0.128.7"
+fastapi = "^0.128.0"
 google-cloud-logging = "^3.13.0"
-launchdarkly-server-sdk = "^9.15.0"
+launchdarkly-server-sdk = "^9.14.1"
 pydantic = "^2.12.5"
 pydantic-settings = "^2.12.0"
 pyjwt = {version = "^2.11.0", extras = ["crypto"]}
 redis = "^6.2.0"
-supabase = "^2.28.0"
+supabase = "^2.27.2"
 uvicorn = "^0.40.0"
 
 [package.source]
@@ -1382,14 +1382,14 @@ tzdata = "*"
 
 [[package]]
 name = "fastapi"
-version = "0.128.7"
+version = "0.128.6"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "fastapi-0.128.7-py3-none-any.whl", hash = "sha256:6bd9bd31cb7047465f2d3fa3ba3f33b0870b17d4eaf7cdb36d1576ab060ad662"},
-    {file = "fastapi-0.128.7.tar.gz", hash = "sha256:783c273416995486c155ad2c0e2b45905dedfaf20b9ef8d9f6a9124670639a24"},
+    {file = "fastapi-0.128.6-py3-none-any.whl", hash = "sha256:bb1c1ef87d6086a7132d0ab60869d6f1ee67283b20fbf84ec0003bd335099509"},
+    {file = "fastapi-0.128.6.tar.gz", hash = "sha256:0cb3946557e792d731b26a42b04912f16367e3c3135ea8290f620e234f2b604f"},
 ]
 
 [package.dependencies]
@@ -3117,14 +3117,14 @@ urllib3 = ">=1.26.0,<3"
 
 [[package]]
 name = "launchdarkly-server-sdk"
-version = "9.15.0"
+version = "9.14.1"
 description = "LaunchDarkly SDK for Python"
 optional = false
-python-versions = ">=3.10"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "launchdarkly_server_sdk-9.15.0-py3-none-any.whl", hash = "sha256:c267e29bfa3fb5e2a06a208448ada6ed5557a2924979b8d79c970b45d227c668"},
-    {file = "launchdarkly_server_sdk-9.15.0.tar.gz", hash = "sha256:f31441b74bc1a69c381db57c33116509e407a2612628ad6dff0a7dbb39d5020b"},
+    {file = "launchdarkly_server_sdk-9.14.1-py3-none-any.whl", hash = "sha256:a9e2bd9ecdef845cd631ae0d4334a1115e5b44257c42eb2349492be4bac7815c"},
+    {file = "launchdarkly_server_sdk-9.14.1.tar.gz", hash = "sha256:1df44baf0a0efa74d8c1dad7a00592b98bce7d19edded7f770da8dbc49922213"},
 ]
 
 [package.dependencies]
@@ -4728,14 +4728,14 @@ tests = ["coverage-conditional-plugin (>=0.9.0)", "portalocker[redis]", "pytest
 
 [[package]]
 name = "postgrest"
-version = "2.28.0"
+version = "2.27.3"
 description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "postgrest-2.28.0-py3-none-any.whl", hash = "sha256:7bca2f24dd1a1bf8a3d586c7482aba6cd41662da6733045fad585b63b7f7df75"},
-    {file = "postgrest-2.28.0.tar.gz", hash = "sha256:c36b38646d25ea4255321d3d924ce70f8d20ec7799cb42c1221d6a818d4f6515"},
+    {file = "postgrest-2.27.3-py3-none-any.whl", hash = "sha256:ed79123af7127edd78d538bfe8351d277e45b1a36994a4dbf57ae27dde87a7b7"},
+    {file = "postgrest-2.27.3.tar.gz", hash = "sha256:c2e2679addfc8eaab23197bad7ddaee6cbb4cbe8c483ebd2d2e5219543037cc3"},
 ]
 
 [package.dependencies]
@@ -6260,14 +6260,14 @@ all = ["numpy"]
 
 [[package]]
 name = "realtime"
-version = "2.28.0"
+version = "2.27.3"
 description = ""
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "realtime-2.28.0-py3-none-any.whl", hash = "sha256:db1bd59bab9b1fcc9f9d3b1a073bed35bf4994d720e6751f10031a58d57a3836"},
-    {file = "realtime-2.28.0.tar.gz", hash = "sha256:d18cedcebd6a8f22fcd509bc767f639761eb218b7b2b6f14fc4205b6259b50fc"},
+    {file = "realtime-2.27.3-py3-none-any.whl", hash = "sha256:f571115f86988e33c41c895cb3fba2eaa1b693aeaede3617288f44274ca90f43"},
+    {file = "realtime-2.27.3.tar.gz", hash = "sha256:02b082243107656a5ef3fb63e8e2ab4c40bc199abb45adb8a42ed63f089a1041"},
 ]
 
 [package.dependencies]
@@ -7024,14 +7024,14 @@ full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart
 
 [[package]]
 name = "storage3"
-version = "2.28.0"
+version = "2.27.3"
 description = "Supabase Storage client for Python."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "storage3-2.28.0-py3-none-any.whl", hash = "sha256:ecb50efd2ac71dabbdf97e99ad346eafa630c4c627a8e5a138ceb5fbbadae716"},
-    {file = "storage3-2.28.0.tar.gz", hash = "sha256:bc1d008aff67de7a0f2bd867baee7aadbcdb6f78f5a310b4f7a38e8c13c19865"},
+    {file = "storage3-2.27.3-py3-none-any.whl", hash = "sha256:11a05b7da84bccabeeea12d940bca3760cf63fe6ca441868677335cfe4fdfbe0"},
+    {file = "storage3-2.27.3.tar.gz", hash = "sha256:dc1a4a010cf36d5482c5cb6c1c28fc5f00e23284342b89e4ae43b5eae8501ddb"},
 ]
 
 [package.dependencies]
@@ -7091,35 +7091,35 @@ typing-extensions = {version = ">=4.5.0", markers = "python_version >= \"3.7\""}
 
 [[package]]
 name = "supabase"
-version = "2.28.0"
+version = "2.27.3"
 description = "Supabase client for Python."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "supabase-2.28.0-py3-none-any.whl", hash = "sha256:42776971c7d0ccca16034df1ab96a31c50228eb1eb19da4249ad2f756fc20272"},
-    {file = "supabase-2.28.0.tar.gz", hash = "sha256:aea299aaab2a2eed3c57e0be7fc035c6807214194cce795a3575add20268ece1"},
+    {file = "supabase-2.27.3-py3-none-any.whl", hash = "sha256:082a74642fcf9954693f1ce8c251baf23e4bda26ffdbc8dcd4c99c82e60d69ff"},
+    {file = "supabase-2.27.3.tar.gz", hash = "sha256:5e5a348232ac4315c1032ddd687278f0b982465471f0cbb52bca7e6a66495ff3"},
 ]
 
 [package.dependencies]
 httpx = ">=0.26,<0.29"
-postgrest = "2.28.0"
-realtime = "2.28.0"
-storage3 = "2.28.0"
-supabase-auth = "2.28.0"
-supabase-functions = "2.28.0"
+postgrest = "2.27.3"
+realtime = "2.27.3"
+storage3 = "2.27.3"
+supabase-auth = "2.27.3"
+supabase-functions = "2.27.3"
 yarl = ">=1.22.0"
 
 [[package]]
 name = "supabase-auth"
-version = "2.28.0"
+version = "2.27.3"
 description = "Python Client Library for Supabase Auth"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "supabase_auth-2.28.0-py3-none-any.whl", hash = "sha256:2ac85026cc285054c7fa6d41924f3a333e9ec298c013e5b5e1754039ba7caec9"},
-    {file = "supabase_auth-2.28.0.tar.gz", hash = "sha256:2bb8f18ff39934e44b28f10918db965659f3735cd6fbfcc022fe0b82dbf8233e"},
+    {file = "supabase_auth-2.27.3-py3-none-any.whl", hash = "sha256:82a4262eaad85383319d394dab0eea11fcf3ebd774062aef8ea3874ae2f02579"},
+    {file = "supabase_auth-2.27.3.tar.gz", hash = "sha256:39894d4bc60b6f23b5cff4d0d7d4c1659e5d69563cadf014d4896f780ca8ca78"},
 ]
 
 [package.dependencies]
@@ -7129,14 +7129,14 @@ pyjwt = {version = ">=2.10.1", extras = ["crypto"]}
 
 [[package]]
 name = "supabase-functions"
-version = "2.28.0"
+version = "2.27.3"
 description = "Library for Supabase Functions"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "supabase_functions-2.28.0-py3-none-any.whl", hash = "sha256:30bf2d586f8df285faf0621bb5d5bb3ec3157234fc820553ca156f009475e4ae"},
-    {file = "supabase_functions-2.28.0.tar.gz", hash = "sha256:db3dddfc37aca5858819eb461130968473bd8c75bd284581013958526dac718b"},
+    {file = "supabase_functions-2.27.3-py3-none-any.whl", hash = "sha256:9d14a931d49ede1c6cf5fbfceb11c44061535ba1c3f310f15384964d86a83d9e"},
+    {file = "supabase_functions-2.27.3.tar.gz", hash = "sha256:e954f1646da8ca6e7e16accef58d0884a5f97b25956ee98e7d4927a210ed92f9"},
 ]
 
 [package.dependencies]
@@ -8440,4 +8440,4 @@ cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and pyt
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<3.14"
-content-hash = "fa9c5deadf593e815dd2190f58e22152373900603f5f244b9616cd721de84d2f"
+content-hash = "c06e96ad49388ba7a46786e9ea55ea2c1a57408e15613237b4bee40a592a12af"

autogpt_platform/backend/pyproject.toml

@@ -65,7 +65,7 @@ sentry-sdk = {extras = ["anthropic", "fastapi", "launchdarkly", "openai", "sqlal
 sqlalchemy = "^2.0.40"
 strenum = "^0.4.9"
 stripe = "^11.5.0"
-supabase = "2.28.0"
+supabase = "2.27.3"
 tenacity = "^9.1.4"
 todoist-api-python = "^2.1.7"
 tweepy = "^4.16.0"

autogpt_platform/docker-compose.platform.yml

@@ -37,7 +37,7 @@ services:
       context: ../
       dockerfile: autogpt_platform/backend/Dockerfile
       target: migrate
-    command: ["sh", "-c", "prisma generate && python3 gen_prisma_types_stub.py && prisma migrate deploy"]
+    command: ["sh", "-c", "poetry run prisma generate && poetry run gen-prisma-stub && poetry run prisma migrate deploy"]
     develop:
       watch:
         - path: ./
@@ -56,7 +56,7 @@ services:
       test:
         [
           "CMD-SHELL",
-          "prisma migrate status | grep -q 'No pending migrations' || exit 1",
+          "poetry run prisma migrate status | grep -q 'No pending migrations' || exit 1",
         ]
       interval: 30s
       timeout: 10s

autogpt_platform/frontend/src/app/(platform)/copilot/tools/RunBlock/RunBlock.tsx

@@ -3,7 +3,6 @@
 import type { ToolUIPart } from "ai";
 import { MorphingTextAnimation } from "../../components/MorphingTextAnimation/MorphingTextAnimation";
 import { ToolAccordion } from "../../components/ToolAccordion/ToolAccordion";
-import { BlockDetailsCard } from "./components/BlockDetailsCard/BlockDetailsCard";
 import { BlockOutputCard } from "./components/BlockOutputCard/BlockOutputCard";
 import { ErrorCard } from "./components/ErrorCard/ErrorCard";
 import { SetupRequirementsCard } from "./components/SetupRequirementsCard/SetupRequirementsCard";
@@ -12,7 +11,6 @@ import {
   getAnimationText,
   getRunBlockToolOutput,
   isRunBlockBlockOutput,
-  isRunBlockDetailsOutput,
   isRunBlockErrorOutput,
   isRunBlockSetupRequirementsOutput,
   ToolIcon,
@@ -43,7 +41,6 @@ export function RunBlockTool({ part }: Props) {
     part.state === "output-available" &&
     !!output &&
     (isRunBlockBlockOutput(output) ||
-      isRunBlockDetailsOutput(output) ||
       isRunBlockSetupRequirementsOutput(output) ||
       isRunBlockErrorOutput(output));
 
@@ -61,10 +58,6 @@ export function RunBlockTool({ part }: Props) {
         <ToolAccordion {...getAccordionMeta(output)}>
           {isRunBlockBlockOutput(output) && <BlockOutputCard output={output} />}
 
-          {isRunBlockDetailsOutput(output) && (
-            <BlockDetailsCard output={output} />
-          )}
-
           {isRunBlockSetupRequirementsOutput(output) && (
             <SetupRequirementsCard output={output} />
           )}

autogpt_platform/frontend/src/app/(platform)/copilot/tools/RunBlock/components/BlockDetailsCard/BlockDetailsCard.stories.tsx

@@ -1,188 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/nextjs";
-import { ResponseType } from "@/app/api/__generated__/models/responseType";
-import type { BlockDetailsResponse } from "../../helpers";
-import { BlockDetailsCard } from "./BlockDetailsCard";
-
-const meta: Meta<typeof BlockDetailsCard> = {
-  title: "Copilot/RunBlock/BlockDetailsCard",
-  component: BlockDetailsCard,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  decorators: [
-    (Story) => (
-      <div style={{ maxWidth: 480 }}>
-        <Story />
-      </div>
-    ),
-  ],
-};
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const baseBlock: BlockDetailsResponse = {
-  type: ResponseType.block_details,
-  message:
-    "Here are the details for the GetWeather block. Provide the required inputs to run it.",
-  session_id: "session-123",
-  user_authenticated: true,
-  block: {
-    id: "block-abc-123",
-    name: "GetWeather",
-    description: "Fetches current weather data for a given location.",
-    inputs: {
-      type: "object",
-      properties: {
-        location: {
-          title: "Location",
-          type: "string",
-          description:
-            "City name or coordinates (e.g. 'London' or '51.5,-0.1')",
-        },
-        units: {
-          title: "Units",
-          type: "string",
-          description: "Temperature units: 'metric' or 'imperial'",
-        },
-      },
-      required: ["location"],
-    },
-    outputs: {
-      type: "object",
-      properties: {
-        temperature: {
-          title: "Temperature",
-          type: "number",
-          description: "Current temperature in the requested units",
-        },
-        condition: {
-          title: "Condition",
-          type: "string",
-          description: "Weather condition description (e.g. 'Sunny', 'Rain')",
-        },
-      },
-    },
-    credentials: [],
-  },
-};
-
-export const Default: Story = {
-  args: {
-    output: baseBlock,
-  },
-};
-
-export const InputsOnly: Story = {
-  args: {
-    output: {
-      ...baseBlock,
-      message: "This block requires inputs. No outputs are defined.",
-      block: {
-        ...baseBlock.block,
-        outputs: {},
-      },
-    },
-  },
-};
-
-export const OutputsOnly: Story = {
-  args: {
-    output: {
-      ...baseBlock,
-      message: "This block has no required inputs.",
-      block: {
-        ...baseBlock.block,
-        inputs: {},
-      },
-    },
-  },
-};
-
-export const ManyFields: Story = {
-  args: {
-    output: {
-      ...baseBlock,
-      message: "Block with many input and output fields.",
-      block: {
-        ...baseBlock.block,
-        name: "SendEmail",
-        description: "Sends an email via SMTP.",
-        inputs: {
-          type: "object",
-          properties: {
-            to: {
-              title: "To",
-              type: "string",
-              description: "Recipient email address",
-            },
-            subject: {
-              title: "Subject",
-              type: "string",
-              description: "Email subject line",
-            },
-            body: {
-              title: "Body",
-              type: "string",
-              description: "Email body content",
-            },
-            cc: {
-              title: "CC",
-              type: "string",
-              description: "CC recipients (comma-separated)",
-            },
-            bcc: {
-              title: "BCC",
-              type: "string",
-              description: "BCC recipients (comma-separated)",
-            },
-          },
-          required: ["to", "subject", "body"],
-        },
-        outputs: {
-          type: "object",
-          properties: {
-            message_id: {
-              title: "Message ID",
-              type: "string",
-              description: "Unique ID of the sent email",
-            },
-            status: {
-              title: "Status",
-              type: "string",
-              description: "Delivery status",
-            },
-          },
-        },
-      },
-    },
-  },
-};
-
-export const NoFieldDescriptions: Story = {
-  args: {
-    output: {
-      ...baseBlock,
-      message: "Fields without descriptions.",
-      block: {
-        ...baseBlock.block,
-        name: "SimpleBlock",
-        inputs: {
-          type: "object",
-          properties: {
-            input_a: { title: "Input A", type: "string" },
-            input_b: { title: "Input B", type: "number" },
-          },
-          required: ["input_a"],
-        },
-        outputs: {
-          type: "object",
-          properties: {
-            result: { title: "Result", type: "string" },
-          },
-        },
-      },
-    },
-  },
-};

autogpt_platform/frontend/src/app/(platform)/copilot/tools/RunBlock/components/BlockDetailsCard/BlockDetailsCard.tsx

@@ -1,103 +0,0 @@
-"use client";
-
-import type { BlockDetailsResponse } from "../../helpers";
-import {
-  ContentBadge,
-  ContentCard,
-  ContentCardDescription,
-  ContentCardTitle,
-  ContentGrid,
-  ContentMessage,
-} from "../../../../components/ToolAccordion/AccordionContent";
-
-interface Props {
-  output: BlockDetailsResponse;
-}
-
-function SchemaFieldList({
-  title,
-  properties,
-  required,
-}: {
-  title: string;
-  properties: Record<string, unknown>;
-  required?: string[];
-}) {
-  const entries = Object.entries(properties);
-  if (entries.length === 0) return null;
-
-  const requiredSet = new Set(required ?? []);
-
-  return (
-    <ContentCard>
-      <ContentCardTitle className="text-xs">{title}</ContentCardTitle>
-      <div className="mt-2 grid gap-2">
-        {entries.map(([name, schema]) => {
-          const field = schema as Record<string, unknown> | undefined;
-          const fieldTitle =
-            typeof field?.title === "string" ? field.title : name;
-          const fieldType =
-            typeof field?.type === "string" ? field.type : "unknown";
-          const description =
-            typeof field?.description === "string"
-              ? field.description
-              : undefined;
-
-          return (
-            <div key={name} className="rounded-xl border p-2">
-              <div className="flex items-center justify-between gap-2">
-                <ContentCardTitle className="text-xs">
-                  {fieldTitle}
-                </ContentCardTitle>
-                <div className="flex gap-1">
-                  <ContentBadge>{fieldType}</ContentBadge>
-                  {requiredSet.has(name) && (
-                    <ContentBadge>Required</ContentBadge>
-                  )}
-                </div>
-              </div>
-              {description && (
-                <ContentCardDescription className="mt-1 text-xs">
-                  {description}
-                </ContentCardDescription>
-              )}
-            </div>
-          );
-        })}
-      </div>
-    </ContentCard>
-  );
-}
-
-export function BlockDetailsCard({ output }: Props) {
-  const inputs = output.block.inputs as {
-    properties?: Record<string, unknown>;
-    required?: string[];
-  } | null;
-  const outputs = output.block.outputs as {
-    properties?: Record<string, unknown>;
-    required?: string[];
-  } | null;
-
-  return (
-    <ContentGrid>
-      <ContentMessage>{output.message}</ContentMessage>
-
-      {inputs?.properties && Object.keys(inputs.properties).length > 0 && (
-        <SchemaFieldList
-          title="Inputs"
-          properties={inputs.properties}
-          required={inputs.required}
-        />
-      )}
-
-      {outputs?.properties && Object.keys(outputs.properties).length > 0 && (
-        <SchemaFieldList
-          title="Outputs"
-          properties={outputs.properties}
-          required={outputs.required}
-        />
-      )}
-    </ContentGrid>
-  );
-}

autogpt_platform/frontend/src/app/(platform)/copilot/tools/RunBlock/helpers.tsx

@@ -10,37 +10,18 @@ import {
 import type { ToolUIPart } from "ai";
 import { OrbitLoader } from "../../components/OrbitLoader/OrbitLoader";
 
-/** Block details returned on first run_block attempt (before input_data provided). */
-export interface BlockDetailsResponse {
-  type: typeof ResponseType.block_details;
-  message: string;
-  session_id?: string | null;
-  block: {
-    id: string;
-    name: string;
-    description: string;
-    inputs: Record<string, unknown>;
-    outputs: Record<string, unknown>;
-    credentials: unknown[];
-  };
-  user_authenticated: boolean;
-}
-
 export interface RunBlockInput {
   block_id?: string;
-  block_name?: string;
   input_data?: Record<string, unknown>;
 }
 
 export type RunBlockToolOutput =
   | SetupRequirementsResponse
-  | BlockDetailsResponse
   | BlockOutputResponse
   | ErrorResponse;
 
 const RUN_BLOCK_OUTPUT_TYPES = new Set<string>([
   ResponseType.setup_requirements,
-  ResponseType.block_details,
   ResponseType.block_output,
   ResponseType.error,
 ]);
@@ -54,15 +35,6 @@ export function isRunBlockSetupRequirementsOutput(
   );
 }
 
-export function isRunBlockDetailsOutput(
-  output: RunBlockToolOutput,
-): output is BlockDetailsResponse {
-  return (
-    output.type === ResponseType.block_details ||
-    ("block" in output && typeof output.block === "object")
-  );
-}
-
 export function isRunBlockBlockOutput(
   output: RunBlockToolOutput,
 ): output is BlockOutputResponse {
@@ -92,7 +64,6 @@ function parseOutput(output: unknown): RunBlockToolOutput | null {
       return output as RunBlockToolOutput;
     }
     if ("block_id" in output) return output as BlockOutputResponse;
-    if ("block" in output) return output as BlockDetailsResponse;
     if ("setup_info" in output) return output as SetupRequirementsResponse;
     if ("error" in output || "details" in output)
       return output as ErrorResponse;
@@ -113,25 +84,17 @@ export function getAnimationText(part: {
   output?: unknown;
 }): string {
   const input = part.input as RunBlockInput | undefined;
-  const blockName = input?.block_name?.trim();
   const blockId = input?.block_id?.trim();
-  // Prefer block_name if available, otherwise fall back to block_id
-  const blockText = blockName
-    ? ` "${blockName}"`
-    : blockId
-      ? ` "${blockId}"`
-      : "";
+  const blockText = blockId ? ` "${blockId}"` : "";
 
   switch (part.state) {
     case "input-streaming":
     case "input-available":
-      return `Running${blockText}`;
+      return `Running the block${blockText}`;
     case "output-available": {
       const output = parseOutput(part.output);
-      if (!output) return `Running${blockText}`;
+      if (!output) return `Running the block${blockText}`;
       if (isRunBlockBlockOutput(output)) return `Ran "${output.block_name}"`;
-      if (isRunBlockDetailsOutput(output))
-        return `Details for "${output.block.name}"`;
       if (isRunBlockSetupRequirementsOutput(output)) {
         return `Setup needed for "${output.setup_info.agent_name}"`;
       }
@@ -195,21 +158,6 @@ export function getAccordionMeta(output: RunBlockToolOutput): {
     };
   }
 
-  if (isRunBlockDetailsOutput(output)) {
-    const inputKeys = Object.keys(
-      (output.block.inputs as { properties?: Record<string, unknown> })
-        ?.properties ?? {},
-    );
-    return {
-      icon,
-      title: output.block.name,
-      description:
-        inputKeys.length > 0
-          ? `${inputKeys.length} input field${inputKeys.length === 1 ? "" : "s"} available`
-          : output.message,
-    };
-  }
-
   if (isRunBlockSetupRequirementsOutput(output)) {
     const missingCredsCount = Object.keys(
       (output.setup_info.user_readiness?.missing_credentials ?? {}) as Record<

autogpt_platform/frontend/src/app/api/openapi.json

@@ -1053,7 +1053,6 @@
                       "$ref": "#/components/schemas/ClarificationNeededResponse"
                     },
                     { "$ref": "#/components/schemas/BlockListResponse" },
-                    { "$ref": "#/components/schemas/BlockDetailsResponse" },
                     { "$ref": "#/components/schemas/BlockOutputResponse" },
                     { "$ref": "#/components/schemas/DocSearchResultsResponse" },
                     { "$ref": "#/components/schemas/DocPageResponse" },
@@ -6959,58 +6958,6 @@
         "enum": ["run", "byte", "second"],
         "title": "BlockCostType"
       },
-      "BlockDetails": {
-        "properties": {
-          "id": { "type": "string", "title": "Id" },
-          "name": { "type": "string", "title": "Name" },
-          "description": { "type": "string", "title": "Description" },
-          "inputs": {
-            "additionalProperties": true,
-            "type": "object",
-            "title": "Inputs",
-            "default": {}
-          },
-          "outputs": {
-            "additionalProperties": true,
-            "type": "object",
-            "title": "Outputs",
-            "default": {}
-          },
-          "credentials": {
-            "items": { "$ref": "#/components/schemas/CredentialsMetaInput" },
-            "type": "array",
-            "title": "Credentials",
-            "default": []
-          }
-        },
-        "type": "object",
-        "required": ["id", "name", "description"],
-        "title": "BlockDetails",
-        "description": "Detailed block information."
-      },
-      "BlockDetailsResponse": {
-        "properties": {
-          "type": {
-            "$ref": "#/components/schemas/ResponseType",
-            "default": "block_details"
-          },
-          "message": { "type": "string", "title": "Message" },
-          "session_id": {
-            "anyOf": [{ "type": "string" }, { "type": "null" }],
-            "title": "Session Id"
-          },
-          "block": { "$ref": "#/components/schemas/BlockDetails" },
-          "user_authenticated": {
-            "type": "boolean",
-            "title": "User Authenticated",
-            "default": false
-          }
-        },
-        "type": "object",
-        "required": ["message", "block"],
-        "title": "BlockDetailsResponse",
-        "description": "Response for block details (first run_block attempt)."
-      },
       "BlockInfo": {
         "properties": {
           "id": { "type": "string", "title": "Id" },
@@ -7066,13 +7013,62 @@
         "properties": {
           "id": { "type": "string", "title": "Id" },
           "name": { "type": "string", "title": "Name" },
-          "description": { "type": "string", "title": "Description" }
+          "description": { "type": "string", "title": "Description" },
+          "categories": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Categories"
+          },
+          "input_schema": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Input Schema"
+          },
+          "output_schema": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Output Schema"
+          },
+          "required_inputs": {
+            "items": { "$ref": "#/components/schemas/BlockInputFieldInfo" },
+            "type": "array",
+            "title": "Required Inputs",
+            "description": "List of required input fields for this block"
+          }
         },
         "type": "object",
-        "required": ["id", "name", "description"],
+        "required": [
+          "id",
+          "name",
+          "description",
+          "categories",
+          "input_schema",
+          "output_schema"
+        ],
         "title": "BlockInfoSummary",
         "description": "Summary of a block for search results."
       },
+      "BlockInputFieldInfo": {
+        "properties": {
+          "name": { "type": "string", "title": "Name" },
+          "type": { "type": "string", "title": "Type" },
+          "description": {
+            "type": "string",
+            "title": "Description",
+            "default": ""
+          },
+          "required": {
+            "type": "boolean",
+            "title": "Required",
+            "default": false
+          },
+          "default": { "anyOf": [{}, { "type": "null" }], "title": "Default" }
+        },
+        "type": "object",
+        "required": ["name", "type"],
+        "title": "BlockInputFieldInfo",
+        "description": "Information about a block input field."
+      },
       "BlockListResponse": {
         "properties": {
           "type": {
@@ -7090,7 +7086,12 @@
             "title": "Blocks"
           },
           "count": { "type": "integer", "title": "Count" },
-          "query": { "type": "string", "title": "Query" }
+          "query": { "type": "string", "title": "Query" },
+          "usage_hint": {
+            "type": "string",
+            "title": "Usage Hint",
+            "default": "To execute a block, call run_block with block_id set to the block's 'id' field and input_data containing the required fields from input_schema."
+          }
         },
         "type": "object",
         "required": ["message", "blocks", "count", "query"],
@@ -10483,7 +10484,6 @@
           "agent_saved",
           "clarification_needed",
           "block_list",
-          "block_details",
           "block_output",
           "doc_search_results",
           "doc_page",

plans/SECRT-1950-claude-ci-optimizations.md

@@ -1,165 +0,0 @@
-# Implementation Plan: SECRT-1950 - Apply E2E CI Optimizations to Claude Code Workflows
-
-## Ticket
-[SECRT-1950](https://linear.app/autogpt/issue/SECRT-1950)
-
-## Summary
-Apply Pwuts's CI performance optimizations from PR #12090 to Claude Code workflows.
-
-## Reference PR
-https://github.com/Significant-Gravitas/AutoGPT/pull/12090
-
----
-
-## Analysis
-
-### Current State (claude.yml)
-
-**pnpm caching (lines 104-118):**
-```yaml
-- name: Set up Node.js
-  uses: actions/setup-node@v6
-  with:
-    node-version: "22"
-
-- name: Enable corepack
-  run: corepack enable
-
-- name: Set pnpm store directory
-  run: |
-    pnpm config set store-dir ~/.pnpm-store
-    echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
-
-- name: Cache frontend dependencies
-  uses: actions/cache@v5
-  with:
-    path: ~/.pnpm-store
-    key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
-    restore-keys: |
-      ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
-      ${{ runner.os }}-pnpm-
-```
-
-**Docker setup (lines 134-165):**
-- Uses `docker-buildx-action@v3` 
-- Has manual Docker image caching via `actions/cache`
-- Runs `docker compose up` without buildx bake optimization
-
-### Pwuts's Optimizations (PR #12090)
-
-1. **Simplified pnpm caching** - Use `setup-node` built-in cache:
-```yaml
-- name: Enable corepack
-  run: corepack enable
-
-- name: Set up Node
-  uses: actions/setup-node@v6
-  with:
-    node-version: "22.18.0"
-    cache: "pnpm"
-    cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
-```
-
-2. **Docker build caching via buildx bake**:
-```yaml
-- name: Set up Docker Buildx
-  uses: docker/setup-buildx-action@v3
-  with:
-    driver: docker-container
-    driver-opts: network=host
-
-- name: Expose GHA cache to docker buildx CLI
-  uses: crazy-max/ghaction-github-runtime@v3
-
-- name: Build Docker images (with cache)
-  run: |
-    pip install pyyaml
-    docker compose -f docker-compose.yml config > docker-compose.resolved.yml
-    python ../.github/workflows/scripts/docker-ci-fix-compose-build-cache.py \
-      --source docker-compose.resolved.yml \
-      --cache-from "type=gha" \
-      --cache-to "type=gha,mode=max" \
-      ...
-    docker buildx bake --allow=fs.read=.. -f docker-compose.resolved.yml --load
-```
-
----
-
-## Proposed Changes
-
-### 1. Update pnpm caching in `claude.yml`
-
-**Before:**
-- Manual cache key generation
-- Separate `actions/cache` step
-- Manual pnpm store directory config
-
-**After:**
-- Use `setup-node` built-in `cache: "pnpm"` option
-- Remove manual cache step
-- Keep `corepack enable` before `setup-node`
-
-### 2. Update Docker build in `claude.yml`
-
-**Before:**
-- Manual Docker layer caching via `actions/cache` with `/tmp/.buildx-cache`
-- Simple `docker compose build`
-
-**After:**
-- Use `crazy-max/ghaction-github-runtime@v3` to expose GHA cache
-- Use `docker-ci-fix-compose-build-cache.py` script
-- Build with `docker buildx bake`
-
-### 3. Apply same changes to other Claude workflows
-
-- `claude-dependabot.yml` - Check if it has similar patterns
-- `claude-ci-failure-auto-fix.yml` - Check if it has similar patterns
-- `copilot-setup-steps.yml` - Reusable workflow, may be the source of truth
-
----
-
-## Files to Modify
-
-1. `.github/workflows/claude.yml`
-2. `.github/workflows/claude-dependabot.yml` (if applicable)
-3. `.github/workflows/claude-ci-failure-auto-fix.yml` (if applicable)
-
-## Dependencies
-
-- PR #12090 must be merged first (provides the `docker-ci-fix-compose-build-cache.py` script)
-- Backend Dockerfile optimizations (already in PR #12090)
-
----
-
-## Test Plan
-
-1. Create PR with changes
-2. Trigger Claude workflow manually or via `@claude` mention on a test issue
-3. Compare CI runtime before/after
-4. Verify Claude agent still works correctly (can checkout, build, run tests)
-
----
-
-## Risk Assessment
-
-**Low risk:**
-- These are CI infrastructure changes, not code changes
-- If caching fails, builds fall back to uncached (slower but works)
-- Changes mirror proven patterns from PR #12090
-
----
-
-## Questions for Reviewer
-
-1. Should we wait for PR #12090 to merge before creating this PR?
-2. Does `copilot-setup-steps.yml` need updating, or is it a separate concern?
-3. Any concerns about cache key collisions between frontend E2E and Claude workflows?
-
----
-
-## Verified
-
-- ✅ **`claude-dependabot.yml`**: Has same pnpm caching pattern as `claude.yml` (manual `actions/cache`) — NEEDS UPDATE
-- ✅ **`claude-ci-failure-auto-fix.yml`**: Simple workflow with no pnpm or Docker caching — NO CHANGES NEEDED
-- ✅ **Script path**: `docker-ci-fix-compose-build-cache.py` will be at `.github/workflows/scripts/` after PR #12090 merges
-- ✅ **Test seed caching**: NOT APPLICABLE — Claude workflows spin up a dev environment but don't run E2E tests with pre-seeded data. The seed caching in PR #12090 is specific to the frontend E2E test suite which needs consistent test data. Claude just needs the services running.